Description: The course aims to provide a comprehensive review of clinical research with emphasis on how to design and how to perform a clinical study and thus give the participant the necessary tools to perform clinical trials. The course contains a comprehensive review on how to plan and perform clinical trials involving humans. Different designs (the randomized controlled trial and other designs including more specialized designs) are reviewed and the planning of a clinical trial is presented. Power calculations are reviewed in detail in order to provide the participant with the necessary tools to give an estimate of the number of subjects needed for a clinical trial. Methods (biochemical methods, diagnostic tests, reliability, coefficient of variation etc.) are reviewed and concepts such as evidence based medicine, collaboration with the medical industry, the legal aspects of a clinical trial (how to write a contract, legal obligations etc.), how to review a paper, practical aspects of biobanks, and how to perform meta-analyses are covered. Emphasis is put on practical exercises related to the topics mentioned above along with lectures.
Organizer: Professor, consultant, PhD DrMedSc Peter Vestergaard, e-mail: pev@dcm.aau.dk
Lecturers: Peter Vestergaard, Helle Damgaard Zacho, Niels Kragh Madsen, Nicklas Hessellund Højgaard Rasmussen, Rikke Viggers, Johan Røikjer, Britt Laugesen, Louise Hansen, Louise Bornebusch Lund, Stine Kondrup Bach, Henrik Krarup, Søren Risom Kristensen, Jesper Karmisholt, Jakob Dal
ECTS: 3,2
Dates: December
4th – December 7th, 2023
Time: 08.15-15.30
Place: Forskningens Hus, Aalborg Universitetshospital, Søndre Skovvej 15, DK-9000, Aalborg
Zip code: DK-9000
City: Aalborg
Number of seats: 30
Deadline:
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Literature/Requirements
None
- Teacher: Peter Vestergaard
Couse name:
Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Fall (2023)
Description:
Welcome to the course Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search.
This course is aimed at doctoral students and researchers within health science. You will be introduced to methods, techniques, and tools relevant for searching, evaluating, and organizing literature. During the course, you will learn how to design a search strategy and to conduct and document a systematic search.
The course will cover these essential areas:
- Health scientific information search: How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and Embase. How to choose the right databases for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools. Focus will be on your own research question.
- Documentation and organization of search results: How to document the search and make it transparent to others by using the PRISMA flow diagram. You will be introduced to systems that can facilitate the process of organizing, screening, and handling references from multiple databases and sources.
- Making reviews: How we make sure that the search is exhaustive and as relevant as possible and meets the requirements of different types of reviews.
- Additional search methods: How to improve or supplement your search by using other search methods. You will be introduced to known methods such as citation searching but also to more recent methods such as text mining tools.
The course is a “toolbox for research”-course with a mix of presentations and hands-on training. You can either work individually focusing on your own PhD-project, or in small groups with a shared focus.
Preparation before the course: Some reading previous to the course should be expected.
Exercises: There will be both class exercises and a home assignment. The home assignment is introduced during the course. You are required to finish the home assignment at home and return it by a specific date.
Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.
Course language: English
Important: Remember to bring your computer
Organizer: Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk and Sabine Dreier, librarian, M.Li.Sc e-mail: sd@aub.aau.dk
Lecturers: Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk; Sabine Dreier librarian, M.Li.Sc. e-mail: sd@aub.aau.dk
ECTS: 1
Number of participants: 20
Time: 14 November 2023
Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst
Deadline: 24 October 2023
- Teacher: Sabine Dreier
- Teacher: Pernille Skou Gaardsted
Couse name: CLINICAL SCIENCE, LABORATORY AND TRANSLATIONAL MEDICINE - INTRO-COURSE 2023.
PhD Programme: CLINICAL SCIENCE, LABORATORY AND TRANSLATIONAL MEDICINE
Description: An introduction to being a PhD-student in this programme. Basic information on how to handle samples for biochemical analyses and other diagnostic investigations. How to establish a clinical study; use of databases; need of various approvals; basic statistics.
This course is mandatory for students at the programme.
Organizer: Head of the programme Søren Risom Kristensen
Lecturers: Mainly supervisors/older PhD-students in the programme
ECTS: 1.0
Dates: 14 November 2023
Time: One day course
Place: Forskningens Hus, Aalborg Universitetshospital
Zip code: 9000
City: Aalborg
Number of seats: 25
Deadline: 24 October 2023
Important information concerning PhD courses:
Literature/Requirements
Description: This five-module introduction course (in Danish) offers a comprehensive education and training program in clinical research for health care professionals, incl phd students. The five modules cover the followings topics: 1. Introduction to clinical research, 2. Methods, 3. Legal aspects (incl. data safety and GDPR) ethics, good clinical practice, and project management, 4. Oral and written research dissemination, and 5. Project economy and research funding.
Organizer: Centre for Clinical Research, North Denmark Regional Hospital
Lecturers: Senior clinicians and other health-related research professionals
ECTS: 2.0
Dates: March 28; May 8; June 12; August 22 and September 21 in 2023
Time: 8.00 AM – 3.30 PM
Place: The Skou Auditorium, North Denmark Regional Hospital
Zip code: 9800
City: Hjoerring
Number of seats: In total 24 participants, including 6 PhD students and persons planning to be enrolled in a PhD program
Deadline: Tuesday 28th of February 2023.
Important information concerning PhD courses: In conjunction with course the participants will be submitting an abstract to the annual Research Symposium (first Thursday in November) held at the North Denmark Regional Hospital.
Literature/Requirements: At individual level. A basic research textbook (Klinisk forskningsmetode) will be handed out to the course participants.
Registration:
Forskningskursus - Fra Idé til Projekt | Region Nordjylland (plan2learn.dk)
An interdisciplinary course on recent advances within rehabilitation robotics which is organized as one-day scientific workshop and one-day interdisciplinary seminar. Ph.D. students receive a diploma (and ECTS).
The event is open to other researchers upon registration (mostafa@hst.aau.dk).
The interdisciplinary seminar is open to everyone upon registration (mostafa@hst.aau.dk).
Participants will hear talks from world-leading researchers, clinicians, and industry professionals. Moreover, Ph.D. students will present their own work through a poster, a pitch and an optional demo. Students will receive feedback on their work from the lecturers and the best pitch will receive a prize.
The course will cover themes within rehabilitation robotics, including both therapeutic and assistive robotics, exoskeletons and robotic interfacing. Further the course will include clinical aspects and user perspectives. The course will also showcase the latest solutions within the rehabilitation robotics industry.
The following speakers with give a more scientific talk on the first day and a broader talk on the second day:
- Professor Dario Farina, Imperial College London, England
- Professor Lorenzo Masia, Heidelberg University, Germany
- Professor Nicola Vitiello, Scuola Superiore Sant'Anna, Italy
- Professor John Paulin Hansen, DTU, Denmark
- Professor Lotte N.S. Andreasen Struijk, Aalborg University, Denmark
Literature/Requirements
Ph.D. students are required to bring a poster (can be from a past conference). They are required to pitch the poster during a 5-minute-long presentation. The posters cannot have received a previous prize.
Students are also encouraged to bring a demo (optional).
Prerequisites
PhD student level
Evaluation
There will be a poster pitch assessment committee based on the lecturers of the course.
Preliminary program
03 May 2023
o 10:00 – 11:00 Lectures
o 11:00 –11:15 Break
o 11:15 - 12:15 Lectures
o 12:15 – 13:00 Lunch (included)
o 13:00 – 14:00 Lectures
o 14:00 – 15:00 Pitches by PhD students
Short pitch presentation by the attending PhD students and evaluation for the best pitch prize
o 15:00 – 16:00 Coffee, posters, and demonstrations
You can register for an optional dinner through this link (registration form).
04 May 2023
9:30 – 10:40 First session
Welcome and introduction
Lectures
o 10:40 –11:00 Break
o 11:00 – 12:00 Second session
Lectures
o 12:00 – 12:45 Lunch
o 12:45 – 13:30 Demo and poster
o 13:30 – 14:30 clinical session
Lectures
o 14:30 – 15:00 Coffee break
o 15:00 – 16:00 Industrial session
Lectures by companies active in the rehabilitations robotic industry
15 min Closing remark
Organiser: Professor Lotte Andreasen Struijk, email: naja@hst.aau.dk, Ásgerdur Arna Pálsdóttir aapa@hst.aau.dk; Mostafa Mohammadi mostafa@hst.aau.dk and
Rasmus Leck Kæseler rlk@hst.aau.dk
Lecturers: Lotte Andreasen Struijk and international leading professors in rehabilitation robotics
ECTS: 1
Dates: 3 and 4 May 2023
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup
3 May: Room SLV 249/11.00.033
4 May: Room SLV 249/11.00.035
Deadline: 12 April 2023
Program: BEN (also relevant for HCHPO and HES)
Fee: A fee will be charged for catering + dinner (optional)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Mostafa Mohammadi
- Teacher: Lotte N. S. Andreasen Struijk
Description
This PhD course will be organized for the fifth time as a continuation of previous symposiums on physical activity and human performance. This year’s PhD course will also provide new knowledge related to the use of technologies for the assessment of physical performance among for instance youngsters and elderlies, trained or untrained adults. Lectures will cover measurement of human characteristics and capabilities, achievement of optimal efficiency, improvement of performance, technologies in sports and injury prevention in sports and at work.
This course will provide the audience with recent findings in sport sciences in a broad sense covering physical activity during leisure time and at work. Internationally recognized speakers as well as speakers from Aalborg University will be invited. The addressed topics will include for neuromechanics, motor control, biomechanics, ergonomics, exercise physiology, telerehabilitation (programs and technologies) as well as modelling.
A special emphasis will be given on the speakers-student interaction. The detailed agenda of the course will be provided on the course web site in due time. It will be possible to follow the PhD course remotely (all lectures will also be transmitted online).
Literature
A reading list with relevant papers and book chapters will be announced before the course.
Prerequisites
The students participating to this course should have basic knowledge on anatomy, physiology, and methods to assess human performance by means of quantitative methods.
Evaluation
Evaluation will be announced at the course.
Organizer: Professor Pascal Madeleine, email: pm@hst.aau.dk
Co-organisers: Professor Birthe Dinesen, Associate Professor Jesper Franch, Associate Professor Mark de Zee, Associate Professor Mathias Vedsø Kristiansen, Associate Professor Rogerio Pessoto Hirata, Associate Professor Ryan Godsk Larsen, Professor Uwe Kersting
Lecturers: Organisers, invited national and international speakers and speakers from the Dept. of Health Science and Technology and Aalborg University Hospital
ECTS: 1.5
Date: 1 and 2 June 2023 (8:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup. 1 June: Room 11.00.035, 2 June: Room 11.00.032.
Deadline: 26 May 2023
Program: HES – mandatory course (also relevant for BEN, CPM)
Face to face and online lectures
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Pascal Max Madeleine
Description
Patient-reported outcome measures (PROM) are reported directly by the patient and are powerful tools to inform clinicians and researchers about the patient’s subjective experience.
During the course, the participants will be introduced to the term PROM and learn how to utilize the PROM tools in their own research. The course will encompass the development and objective validation of PROMs, how they are analyzed from a statistical perspective and how they can be used alongside registry data and in large database studies for research and clinical purposes.
Learning goals: (1) Selection of PROM, analysis, and reporting, (2) Understanding of strengths and limitations, validity and reliability, (3) Learning to increase response rate and how to handle non-response and missing data, (4) Understanding the use of PROM with register data and in large databases, (5) Understand the link between points 1 & 2 and the consequences of point 3 & 4.
Literature/Requirements
Selected papers will be announced to the participants and uploaded shortly before the course.
If applicable, bring your own PROM data for analysis.
Prerequisites
None
Evaluation
Active participation and written assignments throughout the course.
Organizer: Postdoc Esben Bolvig Mark emark@dcm.aau.dk Postdoc Anne-Marie Wegeberg (a.wegeberg@rn.dk).
Lecturer: Professor Sten Rasmussen, Associate professor Lone Jørgensen, Statistician Jan Brink Valentin, Professor Michael Skovdal Rathleff, Professor Søren Paaske Johnsen, MD Jakob Lykke Poulsen, Postdoc Esben Bolvig Mark, Postdoc Anne-Marie Wegeberg.
ECTS: 2.0
Dates: 2, 9 and 14 March 2023 (9.00-15.30) meeting room 405 Forskningenhus, Søndre Skovvej 15, 9000 Aalborg
Program:
Day 1: Introduction to PROM and how to use them
Lecture 1: The importance and necessity of PROM from a clinical perspective – Sten Rasmussen
Lecture 2: Introduction to PROM and research examples – Esben Bolvig Mark
Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark
Lecture 3: Types of PROM tools, pros and cons in research and clinical practice – Lone Jørgensen
Lecture 4: Translation and validation of existing PROM tools – Lone Jørgensen
Written assignments– Anne-Marie Wegeberg/Esben Bolvig Mark
Day 2: Statistical analysis of PROM
Lecture 1: Validity of PROM - Jan Valentin
Lecture 2: Reliability of PROM - Jan Valentin
Written assignments – Anne-Marie Wegeberg/Esben Mark
Lecture 3: Statistical considerations and methods for analysing PROM – Michael Rathleff
Lecture 4: Multivariate statistical analysis of PROM – Michael Rathleff
Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark
Day 3: Use of PROM with registry data and in database studies
Lecture 1: Combining PROM and registry data – Søren Paaske Johnsen
Lecture 2: Challenges of Using PROM for registry data – Søren Paaske Johnsen
Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark
Lecture 3: PROM in database studies – Jakob Lykke Poulsen
Presentations of written assignments – Anne-Marie Wegeberg
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Jane Andreasen
- Teacher: Esben Bolvig Mark
- Teacher: Helle Haslund
- Teacher: Esben Mark
- Teacher: Esben Bolvig Mark
- Teacher: Kirsten Schultz Petersen
- Teacher: Jan Brink Valentin
- Teacher: Henrik Vardinghus-Nielsen
Couse name: Disease-related malnutrition
PhD Programme: Clinical Science and Laboratory and Translational Medicine
Description: This PhD course aims at providing thorough, reflective, and reflexive knowledge on the overall aspects of disease related malnutrition and is especially intended for students with clinical projects. Moreover, this course aims to meet students’ needs in addition to covering essential elements of clinical research and evidence-based practice. Additionally, the course will attend especially to the issue of translational nutrition from the more cell based experimental nutrition over clinical nutrition to applied research methods. Prerequisites:
Students enrolled in PhD program and at a point where they have finished their general courses. Students doing quantitative and mixed method research in nutrition, regardless of research setting, are encouraged to apply for this course
Learning objectives. After the course the students should be able to: Explain the scientific basis and relevance and relevance of disease related malnutrition. Decide on scientific approaches and methodologies special for clinical nutrition research.
Teaching methods: This course will be run in a combined lecture and workshop style and the students will be encouraged to active participation.
Organizer: Mette Holst, Professor, Head of Research, PhD. Centre for Nutrition and intestinal Failure, Aalborg University hospital and Department of Clinical Medicine, Aalborg University
Lecturers: Henrik Højgaard Rasmussen, Professor, Consultant, MD, PhD. Centre for Nutrition and intestinal Failure, Aalborg University hospital and Department of Clinical Medicine, Aalborg University
Randi Tobberup, Head of Dietetics, PhD. Centre for Nutrition and intestinal Failure, Aalborg University hospital
Helle Nygaard Lærke, Senior researcher, PhD. Aarhus University
Mette Holst, Professor, Head of Research, PhD. Centre for Nutrition and intestinal Failure, Aalborg University hospital and Department of Clinical Medicine, Aalborg University
ECTS: 2
Dates: 30, 31 October and 1 and 2 November
Time: 9-16
Place: Room 12.02.066 on 30 October, 1 and 2 November. Room 11.01.035 on 31 October. Address: Selma Lagerløfs Vej 249, 9260 Gistrup
Zip code: 9000
City: Aalborg
Number of seats: 20
Deadline: 9 October 2023
Important information concerning PhD courses: Criteria for assessment: Active participation in the course including brief presentation of own project and ‘methodology challenge you wish to tackle’. Presence at least three out of four days.
Online participation is not offered.
Literature/Requirements: Chapters from: Sobotka L et al. “Basics in Clinical Nutrition” Fifth. Ed. Publishing House Galèn, ISBN978-80-7492-427-9 and other literature will follow upon signing for the course.
Program:
Day 1
Welcome and introduction
Background and definitions.
Metabolism in healthy individuals, fasting and disease.
Nutritional assessment; Body composition and function (l)
Assessment of skeletal muscle mass, BIA, CT and MR
Anthropometric measures
Measures of physical function
Practical workshop
Nutritional intake in the diagnosis of malnutrition
Day 2
Nutritional Assessment (ll)
Bowel anatomy and function
Measurement of absorption and malabsorption
The role of the gut microbiota in inflammation and metabolism
Laboratory analysis and biomarkers in nutrition and inflammation
Day 3
Nutritional assessment (lll)
Nutrition Impact Symptoms (NIS) and their implications on nutrition intake
NIS assessment methods for use in clinical practice and research
Patient reported outcome measures (PROMS) for use in clinical practice and research
Nutritional treatment
Estimation and measurements of nutritional requirements in different phenotypes
Targeted nutritional therapy
1) Generalized interventions and specific therapies aimed at inflammation and body composition
2) Specific nutrients and bioactive substances targeting anabolism and inflammation
Nutrition intervention methods; Oral, enteral and parenteral
Methods for quantifying nutrition intake
Day 4
Relevant clinical outcomes in clinical nutrition
Research methods in clinical nutrition
Experimental and clinical research designs
1) Experimental: Laboratory tests, animal models, surrogate markers and power calculation
2) Clinical: Observational and intervention studies
3) Applied: Questionnaires, qualitative methods and implementation studies
Workshops will be included during the day
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Mette Holst
Description
This course will focus on the use of survey design and questionnaires in health science and give participants an understanding of strengths and limitations of survey as a study design and the research questions that surveys can and cannot answer.
The choice of study population, sampling and data collection will be discussed as well as the advantages and disadvantages of use of foreign language, standardized, previously validated, or self-constructed questionnaires here by qualifying participants to think critically and make well-founded methodological and ethical decision in their own study. Furthermore, participants will learn how to construct a questionnaire with high validity and reliability, focusing on both the writing of clear and unbiased questions and the choice of suitable options for answering as well as different types of measurement scales. Last but not least, participants will gain an understanding of the importance of thorough testing of questionnaires and of quantitative as well as qualitative methods for this purpose.
During the course, lectures and discussions will be mixed with group work and individual exercises, allowing participants to develop, test and discuss questionnaire questions and measurement scales relevant to their own study.
Prerequisites
None
Literature
Selected international, scientific papers as well as book chapters
Evaluation
Active participation and an individual, short written course exercise
Organizer: Associate professor Henrik Bøggild; e-mail: boggild@hst.aau.dk
Lecturers: Associate professor Lone Jørgensen, post doc Marie Germund Nielsen and associate professor Henrik Bøggild
ECTS: 2.0
Dates: 7-8 December and 13-14 December 2023
Time: 9:00 - 15:00
Place: Room 11.02.046, Selma Lagerløfs Vej 249, 9260 Gistrup
Deadline: 16 November
Program: HCHPO
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Henrik Bøggild
Qualitative research within health science
Description: The use of qualitative research and data within the health sciences has been increasing over the last 20 years. Either as the main source of data, or as part of a mixed methods design where qualitative and quantitative studies supplement each other. This course will provide participants´ with basis competences in designing a qualitative study and experiences on benefits and limitations when using qualitative methods within the health sciences. The specific focus will be on designing the study, choosing appropriate methods, collecting data and finally analysing the data.
The detailed agenda of the course will be provided on the course web site.
The course will be a three and a half day course and the main topics will include:
- What characterises qualitative research and why should you choose a qualitative approach
- Introduction to different qualitative methods and their possibilities and limitations when used within the health sciences
- Introduction to analytical strategies
- How to work with and analyse ethical implications in qualitative research
Literature: Selected papers and book chapters will be announced to the participants in appropriate time before the course via Moodle.
Prerequisites: The course targets Ph.D. students working within the areas of health science, who are planning to conduct qualitative research as part of their Ph.D, or are interested in gaining knowledge about the use of qualitative methods.
Evaluation: Will be announced in appropriate time before the course.
Organizer: Associate Professor Henrik Vardinghus-Nielsen, Department of Health Science and Technology, Aalborg University.
Lecturers: Associate Professor Henrik Vardinghus-Nielsen, Associate Professor Kirsten Schultz Petersen, Associate Professor Helle Lønstrup Haslund-Thomsen and Associate Professor Jane Andreasen
ECTS: 3
Dates: 12-15 June 2023
Time:
Monday – Wednesday from 9.00 to 16.00
Thursday from 9.00 to 13.00
Place: 12, 14 and 15 Juni, room 12.02.066, Selma Lagerløfs Vej 249, 9260 Gistrup.
13 Juni, Fibigerstræde 2, room 2.125
Deadline: 5. June 2023
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Jane Andreasen
- Teacher: Jane Andreasen
- Teacher: Helle Lønstrup Haslund-Thomsen
- Teacher: Kirsten Schultz Petersen
- Teacher: Henrik Vardinghus-Nielsen
Health Research With Vulnerable Groups
PhD Programme: Health Care, Health Promotion and Organizations (HCHPO)
Description:
While there is increasing attention to vulnerability much more research is needed to better understand the lives of vulnerable groups and individuals. Yet, such research opens for considerations that are crucial to anyone interested in conducting sensitive research.
This course aims to provide PhD students with a space for reflecting on the numerous conceptual, methodological and ethical dilemmas that follow when conducting research with vulnerable groups.
The course will be designed so that lectures are mixed with group work and discussions of questions such as:
· How to conceptualise vulnerability without reproducing homogenizing categorizations?
· How to include vulnerable groups and individuals in the research process?
- How to work with the researchers’ own positionality and reflexivity?
· How to deal with ethical principles of research such as ‘informed consent’
Organizer: Professor mso, Sine Agergaard, sine@hst.aau.dk and associate professor Charlotte Overgaard, co@hst.aau.dk
Lecturers: Organizers and assistant professor Verena Lenneis
ECTS: 1,6
Dates: 4 and 5 December 2023
Time: 9-16
Place: Selma Lagerløfs Vej 249, room 11.00.032
Zip code:
City:
Number of seats: 30
Deadline: November 15
Important information concerning PhD courses:
Literature/Requirements: Course literature will be uploaded on the platform Moodle 1-2 weeks before the course starts. You are to write a short presentation in connection to the course.Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Sine Agergaard
- Teacher: Verena Lenneis
- Teacher: Charlotte Overgaard
Description
This two-day course is offered in a collaboration between Aalborg University and the Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), Cardiff University, UK – a Public Health Research Centre of Excellence.
The British Medical Research Council’s (MRC) framework for development and evaluation of complex interventions are increasingly used world-wide to improve the quality of interventions in public health and applied health sciences.
This course will introduce participants to the 2021 MRC framework, the role of program theory in intervention research and some of the guidance underlying the overall 2021 MRC framework: the 2020 guidance on adaption of interventions to other contexts (ADAPT) and the 2015 guidance on Process evaluation.
In intervention research, most attention are often given to the theoretical and methodological issues of intervention development and to the design of appropriate effect evaluation, often by use of randomised controlled trials.
Understanding change mechanisms and knowing when and how to adapt an evidence-based intervention instead of starting a new development process is however an highly important aspects of work with complex interventions. And also process evaluation is an essential part of testing and evaluation of complex interventions, allowing researchers to learn the significance of context and mechanisms of impact - how the delivered interventions do (or doesn’t) bring about change.
· The course will provide the participants with a working knowledge of the theory and practice of adaption and process
evaluation of interventions in complex systems, focusing on:
· Program theory and logic modelling in interventions in complex systems
· The concept of adaption and key issues in adaption processes
· Stakeholder involvement and other key elements in the 2021 MRC framework
· The role of process evaluation in understanding interventions in complex systems
· Evaluation questions and process evaluation methods
· Analysis and dissemination of process evaluation data
During the course, lectures will be mixed with group work and discussions
Literature
Selected international, scientific papers as well as book chapters
Evaluation
Active participation and completion of course exercises
Organizer: Associate professor Charlotte Overgaard; e-mail: co@hst.aau.dk
Lecturers: Senior Lecturer, Dr. Rhiannon Evans, Research Associate, Dr. Rachael Brown, Associate professor,
Dr. Kirsten Schultz Petersen, Associate professor, Dr. Charlotte Overgaard
ECTS: 2.0
Dates: 7 - 8 December 2023
21 - 22 November 2023
Deadline: 31 October 2023
Place: Aalborg University.
Program: HCHPO
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Charlotte Overgaard
- Teacher: Kirsten Schultz Petersen
Couse name: Advanced characterization of Extracellular Vesicles
PhD Programme: Clinical Science, Laboratory and Translational Medicine
Description:
Aim: To provide theoretical knowledge on extracellular vesicles (EV), and hands-on experience with advanced methods for molecular characterization.
Content: In recent years, EVs have been recognized to play an important role in health and disease by trafficking biomolecules between cells. Apart from being involved in maintaining homeostatic processes in a healthy organism, EVs have also been found to be important in disease progression since both diseased cells and pathogens release EVs to facilitate their survival. This suggests that EVs can be used as diagnostic markers for disease conditions. Furthermore, the therapeutic potential of EVs and their use as vaccines are currently being explored all underpinning the prospects of EV-research.
In this course, we will cover basic aspects of EVs, and explore some of the methods using antibody-based technologies for their characterization. A part of the course will include antibody and molecular binding theory. In addition, the course will focus on techniques used for broad biomarker screening followed by more targeted approaches.
As it is not a trivial task to work with EVs, we will discuss critical aspects to consider during collection and isolation of EVs from various sample types and how to perform advanced characterization of EVs.
During the practical part, you will learn how to perform high-sensitive flow cytometry and EV Array. The size distribution and number of EVs in the samples will be examined by fluorescent nanoparticle tracking analysis.
Organizer: Prof. Aase Handberg, email: aaha@rn.dk; Senior Scientist, associate professor Malene Møller Jørgensen; email: maljoe@rn.dk
Lecturers: Aase Handberg, Malene M Jørgensen, Maiken Mellergaard, Rikke Bæk and invited speakers.
ECTS: 3.0
Dates: 6.-10. November 2023
Time: 8:30 – 15:30
Place: Dep. Clinical Immunology, and Forskningens hus, Aalborg University Hospital
Zip code: 9000
City: Aalborg
Number of seats: 10
Deadline: October 15
Important information concerning PhD courses:
Literature/Requirements
The students participating to this course should have basic knowledge on extracellular vesicles and their nomenclature and biogenesis.
Literature: A reading list with relevant papers and books chapters will be announced before the course.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Aase Handberg
- Teacher: Malene Jørgensen
Couse name: CLINICAL SCIENCE, LABORATORY AND TRANSLATIONAL MEDICINE - INTRO-COURSE 2023.
PhD Programme: CLINICAL SCIENCE, LABORATORY AND TRANSLATIONAL MEDICINE
Description: An introduction to being a PhD-student in this programme. Basic information on how to handle samples for biochemical analyses and other diagnostic investigations. How to establish a clinical study; use of databases; need of various approvals; basic statistics.
This course is mandatory for students at the programme.
Organizer: Head of the programme Søren Risom Kristensen
Lecturers: Mainly supervisors/older PhD-students in the programme
ECTS: 1.0
Dates: 17 April 2023
Time: One day course
Place: Forskningens Hus, Aalborg Universitetshospital
Zip code: 9000
City: Aalborg
Number of seats:
Deadline: 24 March 2023
Important information concerning PhD courses:
Literature/Requirements
Description: This five-module introduction course (in Danish) offers a comprehensive education and training program in clinical research for health care professionals, incl phd students. The five modules cover the followings topics: 1. Introduction to clinical research, 2. Methods, 3. Legal aspects (incl. data safety and GDPR) ethics, good clinical practice, and project management, 4. Oral and written research dissemination, and 5. Project economy and research funding.
Organizer: Centre for Clinical Research, North Denmark Regional Hospital
Lecturers: Senior clinicians and other health-related research professionals
ECTS: 2.0
Dates: March 28; May 8; June 12; August 22 and September 21 in 2023
Time: 8.00 AM – 3.30 PM
Place: The Skou Auditorium, North Denmark Regional Hospital
Zip code: 9800
City: Hjoerring
Number of seats: In total 24 participants, including 6 PhD students and persons planning to be enrolled in a PhD program
Deadline: Tuesday 28th of February 2023.
Important information concerning PhD courses: In conjunction with course the participants will be submitting an abstract to the annual Research Symposium (first Thursday in November) held at the North Denmark Regional Hospital.
Literature/Requirements: At individual level. A basic research textbook (Klinisk forskningsmetode) will be handed out to the course participants.
Registration:
Forskningskursus - Fra Idé til Projekt | Region Nordjylland (plan2learn.dk)
Description
Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and medical investigation. Omics is an interdisciplinary research field that coalesces researchers from many different areas of biomedical research into one of the most likely disciplines to successfully foster the translation of basic scientific knowledge into clinical applications for the benefit of patients.
This PhD course will focus on advanced theoretical and practical aspects of Omics strategies in Life & Medical sciences. Our focus will address the clinical study design and ethical protol requirements to application of omics strategies to address a diverse range of medical pathologies, including but not limited to autoimmune disorders, diseases associated to neuro-inflammation and neurodegeneration as well as chronic pain conditions. Omics are currently utilized extensively to identify biomarker patterns for detection of disease risk, patient’s stratification, identification of responders to a particular treatment, or elucidation of mechanism of disease or drug action with ultimate goal of patient safety and better health outcome.
The course will be a combination of lectures, bioinformatics tutorials and laboratory demonstrations with hands-on experimental parts. Considering the value and importance of omics, and a rapidly growing trend, this course aims at providing front edge information about current advanced methodologies applied in medical omics through real-life examples. Hence, participants will be able to translate the presented strategies and methods into their own health, and medical related research.
Lectures & Practical
· Clinical study design and ethical aspects for Omics type projects
· Sample handling from patients (biobank), animal models, or in-vitro systems to the mass spectrometer and beyond
· Theoretical and strategic introduction to Omics technologies in scope of clinical research.
· Strategies for clinical proteomics, genomics and metabolomics for personalized medicine in several fields including autoimmune disorders, neurodegenerative diseases and chronic pain.
· Applications for quantitative proteomics and metabolomics in health and medical science.
· Statistical evaluation and presentations of Omics data in scientific publications
· Bioinformatice processing and data integration of Omics data
· Practical session – From biofluid to quantitative proteomics analysis.
Literature
Notes, literature and exercise instruction will be distributed at the course
Prerequisites
None; Background in clinical, translational or biomedical sciences is recommended.
Evaluation Active participation in the theoretical and experimental course.
Organizer: Associate professor Allan Stensballe, email: as@hst.aau.dk
Lecturers: Associate Professor Allan Stensballe; Aalborg University, Christopher Aboo; invited lectures.
ECTS: 2.5
Dates: 13 -15 December 2023
Format: Lectures (on-site); Laboratory execises (Approx 3x2hours on-site)
Place: Aalborg University
Deadline: 13-15 december 2023
Number of seats: 18
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Allan Stensballe
Description
This symposium about Diabetes Technology in Clinical Practice is a 2-day course focusing on cutting-edge technologies and novel approaches in diabetes technology. The course will include lectures by leading experts of the fields. Moreover, the first day will include a poster session, where the students are presenting their current preliminary results and receive feedback from the senior researchers providing the lectures. The first day will likewise include a networking lunch to strengthen future diabetes research in North Denmark. The second day will include a workshop, where the student can get hands-on with some of the novel technologies presented at the seminar.
For further description follow this link: Diabetes Technology in Clinical Practice
For enrollment to the course: Diabetes Technology in Clinical Practice
The content of the course is:
· Continuous Glucose Monitoring
· Continuous Subcutaneous Insulin Infusion
· Closed loop
· Advanced use of data from diabetes technology
Literature
Links to scientific articles distributed in Moodle by the different lecturers in due time before the course.
Prerequisites
Approved abstract of international research quality.
Evaluation
The student will be evaluated individually through the compulsory poster presentation.
Notes to course: Justification of the ECTS points include that it is a requirement that the student creates and submits an abstract of international research quality, prepare a poster (or an oral presentation) for the symposium and present at the poster or oral session. Furthermore, scientific articles are pre-read for the course.
Organizer: Professor Morten Hasselstrøm Jensen, email: mhj@hst.aau.dk
Chief Physician Peter Gustenhoff, email: pegu@rn.dk
Professor Ole Hejlesen, email: okh@hst.aau.dk
Professor Peter Vestergaard, email: p.vestergaard@rn.dk
Lecturers: TBD
ECTS: 1.5
Date: 23 and 24 November 2023
Time: 8:30 – 15:30
Place: Hotel Hvide Hus
Deadline: 8 October 2023
Important information concerning PhD courses:We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Morten Hasselstrøm Jensen
Overdiagnosis. Sick, healthy, or in-between
Medical technology is vastly expanding, and self-assessment has become a big part of being healthy. Alongside, population screening is emerging, and diagnostic thresholds change, which means that even small deviations from “the normal” will be categorized as diseases. At the same time, new diseases emerge, and owing to this, increased numbers of treatments and check-ups will be needed.
This PhD course provides an overview of overdiagnosis, overdetection, misdiagnosis, and overtreatment, and following that, causes, drivers, mechanisms, and incentives to overdiagnosis.
The topics will include
· Overdiagnosis. What it is and what it isn´t.
· Health culture and the quest for avoiding diseases and death
· What is the diagnostic accuracy of a test when overdiagnosis occurs?
· Self-monitoring and” digital health”
The course will be based on short lectures, group discussions, cases from epidemiological and qualitative studies, and analyzing and scrutinizing study designs.
The attendees will gain competences into the design and interpretation of clinical research beyond the Baysian diagnostic paradigm of a simple 2x2 table. In addition, they will get a perspective on how digital self-monitoring will change the culture and concept of health and disease.
The PhD course will be of interest to any researcher working with clinical research, digital health, diagnostics, screening, population-based research, and epidemiology.
Organizer: Associate Professor, Niels Holmark Andersen, n.holmark@rn.dk
Lecturers: Associate Professor Alexandra Brandt Ryborg Jønsson & Professor John Brandt Brodersen
ECTS: 1,5
Dates: 8 November 2023
Time: 8.30 – 15.30
Deadline:
Place: Auditoriet ved forhallen, Sygehus SydImportant information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Niels Holmark Andersen
Couse name: Introduction to Stata in Medical Research (2023)
PhD Programme: Epidemiology and Biostatistics (EB)
Description:
This course aims to introduce the participants to an important tool in biomedical research – statistical software, Stata. Based on real data from medical research projects the intent is to give the participants an insight into the process of transforming raw data into output that is suitable for publication. During the course the participants will be introduced to the following possibilities in Stata:
· How to load data.
· How to prepare data for analysis.
· How to run analysis.
· How to manage output.
· How to present results.
· How to learn more.
The course will consist of both plenum presentations and hands-on exercises.
Organizer: Niels Henrik Bruun, nbru@rn.dk
Lecturers: Niels Henrik Bruun, nbru@rn.dk
ECTS: 0.8
Dates: 28/4-2023
Time: 09.00 - 15.30 (approx.)
Place: Room 405, Forskningens hus
Zip code: 9000
City: Aalborg
Number of seats: 25
Deadline: 5.4.2023
Important information concerning Ph.D. courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Literature/Requirements
A laptop with Stata installed – preferably the latest version.
- Teacher: Niels Henrik Bruun
Couse name: Development and implementation of machine learning models for dynamic risk prediction models in health care applications (2023)
PhD Program: Medicine, Biomedical Science and Technology
Description (preliminary):
Traditional risk prediction generates a risk estimate at a defined timepoint in a patient’s disease trajectory, for example the risk of death within 30 days following a surgical procedure. In contrast, dynamic risk prediction enables prediction of risk at any time point. This allows to continuously monitor a patient’s risk profile and forms the basis for intervention if the predicted risk increases. In this course, we will explore methodological and technical solutions, as well as corresponding challenges, for developing and implementing such solutions in health care. The course includes the following topics:
1) Data management: This part of the course considers the challenges of preparing heterogenous longitudinal health data for prediction. We will cover the various steps involved in this process, including data formatting, feature engineering, and splitting strategies for model validation. This will include discussion about how to handle irregularly sampled health data, data leakage, class imbalance, temporal robustness, normalization, and other potential biases.
2) Modelling: In this part of the course, participants will be led through the process of building such models. We will introduce both basic and more advanced dynamic machine learning prediction algorithms, such as gradient tree boosting, random forest, and LSTM and discuss issues related to performance metrics and hyperparameter optimization, for example Bayesian optimization.
3) Implementation: In the last part of the course, we will consider the challenges associated with the implementation of predictive tools in the clinic. This includes technical aspects about hosting, user interface, and access to live data, including an introduction to the FHIR standard. Regulatory and organizational issues will also be discussed. During the project the participants will get hands on experience covering realistic scenarios related to the subjects discussed. This will include data management of representative data sets, training models and hands on introduction to the FHIR set-up.
Organizers:
Heidi Søgaard Christensen, Postdoc, Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, hschr@dcm.aau.dk
Charles Vesteghem, Assistant Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU, cvesteghem@dcm.aau.dk
Martin Bøgsted, Professor, Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine and Center for Clinical Data Science, Department of Clinical Medicine, m_boegsted@dcm.aau.dk
Lecturers (preliminary):
Heidi Søgaard Christensen, Postdoc, Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU
Anne Krogh Nøhr, Postdoc, Charles Vesteghem, Assistant Professor, Rasmus Froberg Brøndum, Associate Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU
Ida Burchardt Egendal, PhD Student, Simon Christian Dahl, Senior Software Developer, Center for Clinical Data Science, Department of Clinical Medicine, AAU
More TBA.
ECTS: 3
Dates: June 13 – June 16, 2023 (4 days)
Time: 8:30 – 16:00
Place: 13 June, room 12.02.066
14, 15, 16 June, room 11.00.032
AAU SUND, Selma Lagerløfs Vej 249,Zip code: 9220
City: Aalborg Ø
Number of seats: 30
Deadline: 2023-05-29
Important information concerning PhD courses:
Literature/Requirements:
The participants are expected to have basic knowledge on regression analysis as well as programming experience in a statistical software tool, such as R or Python. The workshop will be held using Python and limited support will be provided for other programming languages.
Tomašev, N. et al. Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records. Nature Protocols (2021) doi:10.1038/s41596-021-00513-5.
Vesteghem, C. et al. Dynamic risk prediction of 30-day mortality in patients with advanced lung cancer: Comparing five machine learning approaches. JCO CCI (2022) doi:10.1016/j.clon.2022.03.015
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Rasmus Froberg Brøndum
- Teacher: Martin Bøgsted
- Teacher: Heidi Søgaard Christensen
- Teacher: Charles Philippe Edouard Vesteghem
Couse name: Fundamentals of Clinical Data Science (2023)
PhD Program: Medicine, Biomedical Science and Technology
Description:
Clinical data science can be defined as the scientific field, which turns healthcare data into clinically useful applications. This course will introduce the disciplines involved in the full value chain of clinical data science, covering the transformation of data to model and to applications, with an aim of giving an overview and understanding of the processes, rather than how to perform them. The course is organized into three major themes:
1) Data sources: The first part of the course covers the management and collection of data from both public sources, national registries or trough case report forms
designed for a study. We will introduce both how to access data, how to handle privacy concerns (GDPR) and how to make your own data useable for others (FAIR
principles).
2) Modelling: The second part of the course teaches how to transform the collected data from possibly multiple sources to input for a predictive model, and how to
train and validate a model using techniques such as classification, regression, or clustering.
3) From model to clinic: The final part of the course deals with turning a validated model into a clinical decision support system to strengthen operational
excellence in value-based health care. How do we ensure that data is available in real time? What legal barriers or ethical issues are involved when a medical
decision is guided by artificial intelligence?
Organizers:
Rasmus Froberg Brøndum, Associate Professor, Associate Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU, rfb@dcm.aau.dk
Martin Bøgsted, Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU, m_boegsted@dcm.aau.dk
Louise Pape-Haugaard, Associate Professor, Department of Health Science and Technology, lph@hst.aau.dk
Lecturers:
Rasmus Froberg Brøndum, Associate Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU
Charles Vesteghem, Assistant Professor, Center for Clinical Data Science and Center for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, AAU
Louise Pape-Haugaard, Associate Professor, Department of Health Science and Technology, AAU
Thomas Moeslund, Professor, Department of Architecture, Design and Media Technology, AAU
Lasse Riis Østergaard, Associate Professor, Department of Health Science and Technology, AAU
Jan Brink Valentin, Senior Statistician, Danish Center for Clinical Health Services Research, AAU
Lone Frøkjær Christensen, Research Data Consultant, Research Data and Statistics, Aalborg UH
Mads Lause Mogensen, Chief Executive Officer, Treat Systems
Tomer Sagi, Assistant Professor, Department of Computer Science, AAU
Thomas Ploug, Professor, Department of Communication and Psychology, AAU
ECTS: 3
Dates: Feb 27 – Mar 1, 2023 (3 days)
Time: 8:30 – 16:00
Place: AAU SUND, Selma Lagerløfs Vej 249, SLV249 12.02.066 all days
Zip code: 9260
City: Gistrup
Number of seats: 30
Deadline: 15 February 2023
Important information concerning PhD courses:
Literature/Requirements: Students are expected to have some experience with collecting and analyzing health care data. Suggested reading: Kubben, P., Dumontier, M., Dekker, A. (editors) Fundamentals of Clinical Data Science. Springer Open, 2019. Available online at: linkImportant information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Rasmus Froberg Brøndum
- Teacher: Martin Bøgsted
- Teacher: Thomas B. Moeslund
- Teacher: Louise Pape-Haugaard
- Teacher: Thomas Ploug
- Teacher: Tomer Sagi
- Teacher: Jan Brink Valentin
- Teacher: Lasse Riis Østergaard
Couse name: Validation of prediction models in epidemiology and medicine 2023
PhD Program: Epidemiology and Biostatistics
Description: While most medical studies aim to explain some phenomenon, a significant proportion does not have this as a primary goal. These studies instead aim to predict a certain event or measure as accurately as possible given a number of predictors. Although explaining and predicting are two separate goals, they are often interchanged in medical studies. More importantly, the statistical approaches used for these two types of data analyses are not the same. The course covers the following topics:
- The basic differences between explanatory and predictive studies.
- Model estimation: variable selection, variable predictive power and penalisation.
- Model Performance: N-fold cross validation, geographical and temporal validation, external validation.
- Model validity: Calibration and calibration slope, receiver operating characteristic (ROC) curve incl. area under the curve (AUC), Bland-Altman plots, prediction intervals and decision analysis.
- Examples from the scientific literature.
Upon completion of the course, the student will be able to distinguish between predictive and explanatory data analyses, as well as understand the basic statistical tools used in predictive studies.
Students will be evaluated based on an assignment with oral presentation in groups of 2-4 participants
Organizer: Lasse Hjort Jakobsen (lasse.j@rn.dk), Jan Brink Valentin (jvalentin@dcm.aau.dk)
Lecturers: Lasse Hjort Jakobsen, Jan Brink Valentin, Simon Grøntved
ECTS: 2.5
Dates: 24, 25, 26, 27 April 2023
Time: 08.30 to 16.00
Place: Selma Lagerløfs Vej 249, room 11.00.032
Zip code: 9260
City: Gistrup
Number of seats: 40
Deadline: 1 April 2023
Important information concerning PhD courses: None
Literature:
Moons K, Royston P, Vergouwe Y, Grobbee D, Altman D. Prognosis and prognostic research: what, why and how? BMJ2008;b375.
Ewout W. Steyerberg, Yvonne Vergouwe; Towards better clinical prediction models: seven steps for development and an ABCD for validation, European Heart Journal, Volume 35, Issue 29, 1 August 2014, Pages 1925–1931, https://doi.org/10.1093/eurheartj/ehu207
Requirements: Basic Statistics and basic programming abilities with Stata or R, all participants must bring a laptop with either Stata or R installed.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Simon Grøntved
- Teacher: Lasse Hjort Jakobsen
- Teacher: Lasse Hjort Kyneb Jakobsen
- Teacher: Jan Brink Valentin
Course name: Epidemiology - basic principles
PhD Programme: Epidemiology and biostatistics
Description: This course deals with basic principles of epidemiology and will prepare the students for further courses in advanced epidemiology. The course will consist of lectures and group work based on scientific papers.
The main themes are:
- Prevalence and incidence measures and measures of associations
- Observational design, including cross-sectional studies, cohort studies, and case-control studies
- Experimental studies (randomized controlled trials)
- Sources of information for epidemiological studies with concepts of precision and validity
- Systematic errors in epidemiology, including bias and confounding
- Interactions
- Applications of epidemiology in different areas, including clinical epidemiology
Organizer: Henrik Bøggild, PhD, associate professor, Department of Health Science and Technology
Lecturers: Henrik Bøggild, PhD, associate professor and others
ECTS: 2
Dates: 7, 8, 18, and 19 September
Time: 8:30 – 15:30
Place: Room 405, Forskningens Hus, Søndre Skovvej 15
Zip code: 9000
City: Aalborg
Number of seats: 30
Deadline: 28.8.2023
Important information concerning PhD courses:
Literature/Requirements
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Henrik Bøggild
- Teacher: Marie Germund Nielsen
- Teacher: Peter Brønnum Nielsen
Welcome to Components of causal inference with focus on assumptions and confounding control – an introductory course (mandatory course for AAU PhD programme Epidemiology & Biostatistics) (2023)
Purpose: You already know that establishing a causal relationship is distinct from observing an association. While individuals who receive the flu vaccine tend to have a lower mortality rate compared to those who do not, we must consider whether this lower mortality is directly attributable to the vaccine or if it arises from other distinctions between the vaccinated and unvaccinated groups. The concept of confounding introduces a pervasive bias when we compare groups that are not fundamentally similar. It represents a substantial challenge to drawing accurate causal conclusions from observational data. Consequently, the course's primary focus revolves around the essential task of mitigating confounding in epidemiological research using various techniques.
Course objectives: This course focus on models for confounding control (or adjustment), their application to epidemiologic data, and the assumptions required to endow the parameter estimates with a causal interpretation. The course introduces participants to a set of methods for confounding control with focus on survival analysis: methods that require measuring confounders and how this could be applied in perspective to the research question of interest. Specifically, the course introduces aspects of directed acyclic graphs, outcome regression, propensity score methods, and inverse-probability weighting of marginal structural models as means for confounding control, and how this can be implemented and analysed in standard statistical software.
Course format: Class lectures and hands-on workshop
Credits: 0,75 ECTS
Date: 12 December 2023
Time: 9:00-15:30
Place: Room 11.00.032, SUND building, Aalborg University, Selma Lagerløfs Vej 249
Zip code: 9260
City: Gistrup
Number of seats: 25
Organizer: Peter Brønnum Nielsen, PhD, Assoc. Prof., Department of Clinical Medicine, AAU
Lecturers: Søren Paaske Johnsen, Peter Brønnum Nielsen
Requirements: Basic training in epidemiology required (eg., the AAU course “Epidemiology – Basic principles” or similar). Basic statistics and basic programming abilities with Stata or R. All participants must bring a laptop with either Stata or R installed.
Deadline: 21 November 2023
- Teacher: Søren Paaske Johnsen
- Teacher: Peter Brønnum Nielsen
Description: One of modern biology’s biggest surprises was the finding that the human genome contains only about 20,000 protein-coding genes, comprising less than 2% of the genome sequence. However, recent data imply that the human genome is pervasively transcribed and encodes tens of thousands of non-protein coding RNAs (ncRNAs) that play critical regulatory roles in numerous biological processes. These ncRNAs include over 2,300 microRNAs (miRNAs), a set of structural RNAs [such as ribosomal RNAs (rRNAs), transfer RNAs (tRNAs), and small nuclear RNAs (snRNAs)], and at least 50,000 long noncoding RNAs (lncRNAs). An improved understanding of basic RNA biology and the complexity of the human transcriptome has triggered a corresponding revolution in development of RNA-based therapies, which hold promise for the treatment of a wide range of life-threatening diseases. This is highlighted by the recent FDA approvals of three RNA medicines: (i) the antisense oligonucleotide (ASO)-based drugs eteplirsen for treatment of Duchenne muscular dystrophy and (ii) nusinersen for treatment of the neurodegenerative disease spinal muscular atrophy, respectively, and (iii) the siRNA drug patisiran for the treatment of hereditary transthyretin amyloidosis with polyneuropathy. Notably, RNA drugs can be designed to target essentially any RNA transcript encoded by the genome and can thus target a large part of the currently undruggable genome.
This PhD course will provide the participants with an overview of ncRNA biology and development of RNA-targeted therapeutics and consists of a series of research seminars and laboratory exercises. The seminars will cover key topics in the rapidly expanding field of RNA research from ncRNA biology, high-throughput RNA sequencing (RNA-seq) methods and bioinformatics/computational analysis of RNA-seq data to the emerging roles of ncRNAs in human disease and development of RNA-based medicines. Each seminar will be followed by a scientific discussion of the participating PhD students with the lecturer. As preparation, two scientific papers selected by the lecturer have to be read prior to the PhD course. The laboratory exercises are designed to provide hands-on experience with key methods and tools used in ncRNA research and discovery of RNA-targeted therapeutics.
Literature:
- Khvorova A & Watts JK. The chemical evolution of oligonucleotide therapies of clinical utility. Nat. Biotechnol. 35: 238–248 (2017).
- Lim KR, Maruyama R & Yokota T. Eteplirsen in the treatment of Duchenne muscular dystrophy. Drug Des Devel Ther. 11: 533-545 (2017).
- Corey, DR. 2017. Nusinersen, an antisense oligonucleotide drug for spinal muscular atrophy. Nat Neurosci. 20: 497–499 (2017).
- Setten RL, Rossi JJ & Han SP. The current state and future directions of RNAi-based therapeutics. Nat Rev Drug Discov. 18: 421-446 (2019).
Prerequisites: PhD students in biomedical research or molecular biology with an interest in ncRNA biology in human health and disease and discovery and development of RNA-targeted therapeutics should apply.
Evaluation: Participants who have engaged actively in all parts of the course and completed all lab exercises satisfactorily will be awarded a certificate of completion at the end of the PhD course. The workload corresponds to 3 ECTS points and includes one week of preparation prior to the course (two articles for each lecture that should be read in advance).
Organizer: Sakari Kauppinen, Professor and Director, Center for RNA Medicine, Dept of Clinical Medicine, e-mail: ska@dcm.aau.dk, website: www.rna-medicine.dk
Lecturers:
Sakari Kauppinen, Professor and Director, Center for RNA Medicine
Mogens Vyberg, Professor of Clinical Pathology, Center for RNA Medicine
Shizuka Uchida, Professor (WSR) in Bioinformatics and RNA Computational Biology, Center for RNA Medicine
Riccardo Panella, Associate Professor, Center for RNA Medicine
Anja Holm, Associate Professor, Center for RNA Medicine
ECTS: 3.0
Dates: 27, 28, 29, 30 November and 1 December 2023 (08:15-16:15)
Place: Aalborg University, Copenhagen Campus
Deadline: 6 November 2023
Program: B
Program: The program is based on the highly successful PhD course “RNA Medicine – From Bench to Bedside” held in November 2021 and will be updated based on recent developments in the field of RNA medicine and student feedback on the first PhD course.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Sakari Kauppinen
Description
This PhD course is offered by the Doctoral School of Clinical Science and Biomedicine, Aalborg University and Clinical Cancer Research Center, Aalborg University Hospital (CCRC-Aalborg UH)
This PhD course is aimed at PhD students working within the field of translational and clinical cancer research. The course will touch on several topics related to translational cancer research, including basic science methodologies, statistics and bioinformatics, and the key points in clinical trials. The basic science lectures touch upon molecular pathology, tumour heterogeneity, molecular biology as well as the currently used methods to elucidate these topics. The bioinformatic lectures will focus on workflows for personalized medicine, interpretation of sequencing data, and clinical implications. The clinical lectures will discuss current clinical questions and evidence for PM.
Literature
Relevant book chapters and scientific articles will be advised.
Prerequisites
The PhD students will be involved in a presentation of their own scientific projects (gunshot model). It is expected that all PhD students have read the scientific papers that will be circulated before the course.
Evaluation
Participants are expected to attend all lectures as well as to present their own projects and actively take part in scientific discussions.
Further information
Secretary assistant Lise Tordrup Elkjær, lit@rn.dk / +45 9766 3869.
Organizers: Ole Thorlacius-Ussing, Professor, MD, DMSc (otu@rn.dk), Department of Surgery, Aalborg UH; Ursula Falkmer, Professor, MD, PhD (u.falkmer@rn.dk), Department of Oncology, Aalborg UH; Stine Dam Henriksen, MD, PhD (stdh.@rn.dk), Department of Surgery, Aalborg UH; Laurids Ø Poulsen, MD, PhD, (LØP@rn.dk) assoc. professor, Department of Oncology, Aalborg UH
Lecturers: Ole Thorlacius-Ussing, Morten Ladekarl, Oluf D. Røe, Weronika Szejniuk, Lone Sunde, Ursula Falkmer, Ida Holm, Lykke Grubach, Martin Bøgsted, Henrik Krarup, Mads Sønderkær, Hanne Due, Karen Dybkær, Inge Søkilde Pedersen, Tarec C. El-Galaly, Marianne Tang Severinsen, Stine Dam Henriksen, Laurids Ø Poulsen
ECTS: 2.0
Time: 25 – 27 October 2023
Place: Hotel Amerika, Amerikavej 48, 9500 Hobro
Deadline: 4 October 2023
Program: B – mandatory course (also relevant for CPM and CSLTM)
Number of seats: 15
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Ursula Gerda Inge Falkmer
Description
Case facilitation with problem-based learning (PBL) is the central teaching model at Aalborg University Medicine and Medicine with industrial specialization (MedIS).
The aim of problem-based learning is to facilitate learning in ways that mirror the professional practice. This has several advantages, including highlighting the applicability of the material being taught and facilitate active learning, which increases student motivation, engagement, and the final learning outcome.
A feature of problem-based case work is the use of problem triggers placed in a context, e.g. a medical phenomenon. Small groups of students work on the case together: 1) They analyse the problem, 2) identify learning issues for developing an adequate explanation for the phenomenon, 3) follow up with research, and 4) prepare the explanations. When required, they would also determine the course of treatment, action or solution that best address the phenomenon. Focus is on analyzing complex situations with limited information using acquired knowledge and deduction, and learning to understand causalities of biological systems, i.e., the link between symptoms, biological mechanism, clinical outcomes, and applied treatments.
In this way, not only do the students gain knowledge about professional practice, the also come into the mindset of a professional presented with a context to deal with. (Barrows & Tamblyn, 1980)
The case facilitator has a central role in ensuring the optimal outcome of the case-sessions and can “make or break” the sessions. However, the teaching strategy of the case facilitator is vastly different from the role undertaken by a lecturer. Participants on this course will be given a solid introduction to the theoretical and practical foundation of case facilitation. A special focus is on the role of the case facilitator, and the practicalities of case facilitation, down to the level of what to bring to a session and other experiences. A simulated case session will demonstrate the role of the case facilitator.
Contents of lectures:
· Introduction and theoretical foundation of problem-based case work
· The important role of the case facilitator and the steps of case start and case end facilitation
· Hands-on: Solve case under supervision
· Case facilitator preparation for case sessions
· Good and bad cases, how to edit and make new cases, and future directions of case work
Literature
Notes, literature, and exercise instruction will be distributed at the course
Prerequisites
None. The course will provide a solid foundation of case work but may also serve as a brush-up course.
Evaluation
Participants are expected to be active during the sessions and exercises.
Organiser: Associate Professor Tue Bjerg Bennike, email: tbe@hst.aau.dk
Lecturers: Associate Professor Patrik Kjærsdam Telléus, Associate Professor Tue Bjerg Bennike
ECTS: 1.0
Date: 21 August 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room: 12.01.004
Deadline: 31 July 2023
Program: B (also relevant for CPM, CSLTM, HES)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Tue Bjerg Bennike
Description
This is the twenty-eighth annual international Ph.D. course on the translational neurobiology of the pain system. The purpose of the course is to introduce different aspects of the neurobiology of the pain system and to initiate new co-operation in interdisciplinary pain research. The temporal coding of neuronal activity in acute and chronic pain is not fully understood but likely involves neural oscillations at e.g., alpha frequencies which recently has been linked to pain sensitivity and aspects of chronic pain. This year the course will focus on translational aspects of brain oscillations in pain conditions and where possible linking preclinical models to experimental and clinical pain manifestations. Interestingly, there is also potential non-invasive neuromodulatory approaches (e.g., TMS and biofeedback) which may change the neuronal oscillations and potentially modulate the pain sensitivity. Potential mechanisms may be outlined at various levels of the neuroaxis and psychophysically.
The lectures will be given by staff from Center for Neuroplasticity and Pain (CNAP, Aalborg University), and by invited international key scientists within the area.The course will be held as a hybrid event, i.e., it possible to attend physically and online. Ph.D. students from Danish Universities are strongly recommended to attend physically to have maximum benefit from the participation.
Literature
Selected papers and book chapters will be announced to the participants shortly before the course.
Prerequisites
A basic understanding of pain mechanisms, for update see Textbook of Pain, Section 1: Neurobiology of Pain.
Evaluation
The course will end with a multiple-choice evaluation with questions related to all topics of the course.
Poster
Please prepare a poster as a PDF (electronic poster).
You are allowed to re-use a poster from a recent conference, etc. The poster is to be presented in plenary in the conference room at the poster session on day II.
Program
Log in to see the program.
Fee
A participation fee of DKK 600 will be charged for catering.
Organizer: Professor Thomas Graven-Nielsen, email: tgn@hst.aau.dk
Lecturers: Invited internal and external speakers
ECTS: 1.0
Dates: NB: NEW DATES 27 and 28 November 2023 (9.00-16.00)
Place: Aalborg University, Selma Lagerløfs Vej 249, room 11.00.033
Deadline: 9 November 2023
Program: BEN (also relevant for CPM, CSLTM)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Thomas Graven-Nielsen
Description
Literature
Relevant journal articles and book chapters related to the specific talks will be announced shortly before the course.
Prerequisites
The course targets PhD students of the Program in Biomedical Engineering and Neuroscience and other PhD students working within these areas. The course is repeated every year with a different focus, thus participation to the previous edition does not preclude participation in this edition.
Evaluation
A poster session will be organized during the symposium. PhD students will bring and present a poster on their own work (it is allowed to bring a poster presented at another conference or meeting).
Organiser: Associate Professor Sabata Gervasio, email: saba@hst.aau.dk
Lecturers: Invited lecturers and lecturers from Department of Health Science and Technology and Clinical Medicine
ECTS: 1.5
Dates: 7 and 8 December 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.035
Deadline: 16 November 2023
Program: BEN – mandatory course (also relevant for HES, CSLTM, CPM)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Sabata Gervasio
Description
The course will cover the practical assessment of neuromuscular function and adaptations following training or rehabilitation. The topics covered include: assessment of plasticity in cortical pathways by measures such as I-wave facilitation, motor evoked potential changes as well as cortical inhibition and facilitation using transcranial magnetic stimulation (TMS), assessment of cortical plasticity using electroencephalography (EEG), assessment of spinal plasticity by measures of the stretch reflex as well as more advanced techniques (reciprocal inhibition, monosynaptic Ia excitation and post-activation depression). The course will be conducted through a combination of lectures as well as laboratory work with a greater emphasis on the laboratory component.
Literature:
Selected papers and book chapters will be provided to the participants shortly before the course.
Prerequisites:
A basic background within Anatomy, Physiology and Motor Control is desirable.
Evaluation
Laboratory assignments will be completed throughout the course.
Organisers: Associate Professor Andrew J.T. Stevenson, Aalborg University, e-mail: ajts@hst.aau.dk
Associate Professor Anderson Oliveira, Aalborg University, e-mail: oliveira@mp.aau.dk
Lecturers: Associate Professor Andrew J.T. Stevenson, Aalborg University
Associate Professor Anderson Oliveira, Aalborg University
ECTS: 1.5
Dates: 11, 18 April and 04 May 2023 (8:15-15:30)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room SLV 249/11.00.032
Deadline: 27 March 2023
Programs: BEN (also relevant for B, CSLTM, HES)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Anderson de Souza Castelo Oliveira
- Teacher: Andrew James Thomas Stevenson
The course will focus on the importance of method comparison studies when evaluating new clinical and experimental methods. The course will describe how method comparison studies are designed and how obtained results are analysed and described. Application of analytical measures such as Coefficient of Variance, Intra-Class Correlation, differences in means, and Bland-Altman’s limits of agreement, inter-rater reliability, test accuracy and sample size estimation will be discussed. The aim of the course is to provide the participants with a toolbox that enables them to perform and analyse method comparison studies. This advanced course in biostatistics assumes knowledge of basic methods in biostatistics, including the concepts of hypothesis testing, and basic study designs. The course is designed for researchers working in both clinical and experimental settings.
Literature
· Atkinson G, Nevill A. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998; 26: 217-238,
· Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. Journal of Strength and Conditioning Research 2005; 19: 231–240
· Bland JM, Altman DG. Measuring agreement in method comparison studies. Statistical Methods in Medical Research 1999; 8: 135 – 160
and links, datasets and handouts distributed prior to and during the course.
Prerequisites
Basic knowledge on statistics (e.g., Biostatistics I)
Evaluation: Short project/assignment
Organiser: Associate Professor Carsten Dahl Mørch, Aalborg University cdahl@hst.aau.dk
Lecturers: Research Assistant Felipe Rettore Andreis, PhD, and Associate Professor Carsten Dahl Mørch, Aalborg University
ECTS: 1.5 ECTS
Dates: 13 and 14 April 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup,
13 April: Room Slv 249/12.01.004
14 April: Room SLV 249/11.00.032
Deadline: 23 March 2023
Program: BEN (also relevant for B, CPM, CSLTM, HES)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Carsten Dahl Mørch
Description
Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach to machine learning directed to PhD students at the Faculty of Medicine. The course includes two days of lectures from basics about machine learning to application of models and critical interpretation of the results. Students will be able to work on their own data (or data provided by the lecturers) based on learnings from the first two days and on the third day, results, and plans for optimizing their results will be discussed.
The content of the course is:
· Getting started with machine learning
· Extracting information from data and identifying the most relevant sources (Feature extraction and reduction of
feature space)
· Classification and regression models
· Evaluating the performance of a model
· Working with own data
The lecturers will use Python in teaching, but the principles and concepts are easily transferred to other environments, such as, R, Matlab, etc.
Literature
Links to pre read distributed in Moodle by the different lecturers in due time before the course.
Prerequisites
An education in health sciences and basic knowledge about statistical concepts.
Evaluation
The student will be evaluated individually through their work with own data or data provided by the lecturers.
Organisers: Thomas Kronborg Larsen, email: tkl@hst.aau.dk
Flemming Witt Udsen, email: fwu@hst.aau.dk
Nynne Sophie Holdt-Caspersen, email: nyhc@novonordisk.com
Morten Hasselstrøm Jensen, email: mhj@hst.aau.dk
ECTS: 2.0
Dates: 16, 17 November and 14 December 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249
16 November: Room 11.00.034
17 November: Room 11.00.035
14 December: Room 11.00.034
Deadline: 26 October 2023
Program: BEN
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Thomas Kronborg Larsen
Description
The course will be conducted online
Research on biomedical engineering topics usually require the acquisition of biological signals or additional instrumentation that provides continuous time series. For non-engineers, processing those types of data can be time consuming and inaccurate if proper processing methods are not used. Therefore, the goal of this course is to present basic processing tools to analyse biological and non-biological signals.
The course is based on Matlab, one of the most powerful software packages for data recording and analysis in Engineering. The course presents a dynamic format, in which students will have practical experiences regarding the use of Matlab during the lectures. Students will be able to learn Matlab programming by accessing basic instructions through video contents recorded by the lecturer. Moreover, some specific tasks and exercises will be performed in the presence of the lecturer.
This format will offer to students the unique possibility to learn how to perform basic and complex operations with the assistant of the lecturer while generating the data analyses scripts. The course has been designed for PhD students without previous experience on programming on Matlab, such as physiotherapists, medical doctors, pharmacists, psychologists, sports science professionals. The ultimate goal of this PhD course is to provide students with basic yet reliable tools to process data for their own PhD projects.
The course will be divided in four modules
· Introduction: basic operations and file management (importing, loading, saving files)
· Data visualization, matrix manipulation
· Code optimization: reducing processing time and minimizing changes of errors
· Multi-subject dataset management and basic statistics
Literature
To be announced. Readings will be provided via the course webpage.
Prerequisites
This course is ideal at students early or midway in their PhD. You should be at least 3 months into your project development. Ideally, students should use their own target data to develop scripts for analysis.
Evaluation
Assignment: Students must present a data analysis pipeline generated using Matlab on the last lecture day. The data should be preferably related to the topic of the PhD project, therefore benefiting the student in the standardization of data processing methods. Detailed explanations of the processing steps and the choices for data analysis, based on appropriate references, should be addressed in the presentation.
Organiser: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk
Lecturer: Associate Professor Anderson Oliveira, Aalborg University
ECTS: 3.0
Dates: 2, 9, 16, 25, 30 May and 13 June 2023 (12:30-16:15)
Place: Online
Deadline: 17 April 2023
Programs: BEN (also relevant for HES, CPM, EB, B)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Anderson de Souza Castelo Oliveira
Description
Science is communicated mostly through the interpretation of empirical results, and an effective presentation of such results facilitates understanding and dissemination. In order to be successful in disseminating results, researchers need to gain skills on how to create the relevant narrative to introduce the research problem, as well as present the results using appropriate figures, tables and even other tools such as videos and gifs. In this course students will gain skills in the following topics:
· Structuring your research question – the link between the literature and your project
· Formulating understandable hypotheses – what are you expecting from your data?
· Results layout – When to use or avoid tables/figures in papers and presentations?
· Communicating data – structuring your research speech and text to improve clarity
The course combines short theoretical lectures on the main topics and practical exercises/workshops to gradually improve skills. Ultimately, students will have tools to maximize the productivity when meeting with Ph.D. supervisors and other colleagues, as well as to facilitate scientific writing for conferences and journal publications.
Literature
Relevant papers and book chapters will be provided to the participants shortly before the course.
Prerequisites
No prerequisites exist for this course. However, good skills in English language are an advantage.
Evaluation
A final assignment will consist of a presentation during a mini-symposium organized at the last day of the course. In the presentation, students must demonstrate the gained skills in structuring the scientific question/hypothesis, as well as efficiently and appropriately illustrate a relevant result. Data from PhD experiments can be used for presentation in case the student already possess his/her own project data.
Organiser: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk
Lecturer: Associate Professor Anderson Oliveira, Aalborg University
ECTS: 1.5
Dates: 12, 13 and 20 October 2023 (12:30-16:15)
Deadline: 21 September 2023
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup
12 October: Room 11.02.046
13 and 20 October: Room 11.00.032
Deadline: 21 September 2023
Seats: 20
Programs: BEN (also relevant for HEP, CPM, EB, B, CSLTM, HCHPO)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Anderson de Souza Castelo Oliveira
ASSESSMENT AND MODULATION OF PAIN MECHANISMS - A THEORETICAL AND HANDS-ON COURSE
Description
“Personalized Mechanistic Pain Medicine” aims to assess the underlying mechanisms of pain and target these mechanisms using tailored treatment. Assessment of pain is complex and range from assessments of nerve activity using advanced neurophysiological tests to patient reported outcomes. Emerging evidence supports that multiple pain mechanisms interact on each other and many of these are modulated by comorbidities and/or demographic features (such as age, gender, BMI).
This course will provide the students with an in-depth understanding of a range of pain mechanisms in relation to (1) central pain mechanisms using quantitative sensory testing; (2) assessments of cognitive factors (such as pain catastrophizing, anxiety and depression); and (3) neurophysiological assessments and modulation of the motor system and how this is related to changes in pain.
Students will be introduced to how these can be assessed and be provided with examples on and how these can be modulated. Additionally, this course includes an introduction to the pain laboratories and hands-on experience with assessments of pain mechanisms.
Literature
Selected papers and book chapters will be announced to the participants shortly before the course.
Prerequisites
None
Evaluation
A multiple-choice test will evaluate the student’s outcome of the course and evaluated as pass/not pass.
Organiser: Associate Professor Kristian Kjær Petersen, email: kkp@hst.aau.dk
Lecturers: Associate Professor Kristian Kjær Petersen, Assistant Professor Dennis Boye Larsen, Associate Professor Laura Petrini
ECTS: 2.0
Dates: 8, 9 10 March 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup
8 March: Room SLV 249/11.00.033
9 and 10 March: Room SLV 12.02.066
Deadline: 15 February 2023
Program: BEN (relevant for all PhD students working with pain in humans)
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Kristian Kjær-Staal Petersen
Description
The neurophysiology of movement and neural rehabilitation of movement are rapidly developing research areas. The course focuses on neural engineering solutions for rehabilitation of people suffering from damage to or disease in the central or peripheral nervous system. This course is organized annually and has a focus on disseminating the most relevant and recent achievements within the area. The course will include a series of internationally recognized speakers and a series of speakers from Aalborg University that are experts within the field. There will be a strong emphasis on providing time for interaction between the speakers and participants. The detailed agenda of the course will be provided on the course web site. Main topics can include animal or human models, neurophysiology of movement, neuroplasticity, neuromodulation, rehabilitation technologies, assessment technologies (e.g., fMRI, TMS, electrophysiology) and other timely topics.
Literature
Relevant papers and book chapters related to the specific talks will be announced shortly before the course.
Prerequisites
The course targets PhD students working within the areas of motor control, neural rehabilitation engineering or other students with interests in this research area. The course is repeated every two years with a different focus, thus participation to the previous edition does not preclude participation in this edition.
Evaluation
The students must be present at the symposium. A poster session will be organized during the symposium, and the students should bring a poster on their own work (it can be a poster presented at another conference or meeting).
Organisers: Associate Professor Erika G. Spaich, email: espaich@hst.aau.dk
Associate Professor Andrew J.T. Stevenson, email: ajts@hst.aau.dk
Lecturers: Organisers, invited lecturers and lecturers from HST
ECTS: 1.0
Date: 27 October 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, room 12.01.054 - Guest Canteen
Deadline: 11 October 2023
Programs: BEN (also relevant for CPM, CSLTM, HCHPO, HES)
Fee
A fee of DKK 500 will be charged for catering.
Important information concerning PhD courses:We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Erika G. Spaich
- Teacher: Andrew James Thomas Stevenson
CANCELLED
ADVANCED PHYSIOLOGICAL MODELLING
Description
Modelling of physiological processes and tissues is a valuable tool in both research and industry. Modeling can give insights that can be difficult or even impossible to obtain using experimental methods. Such modelling can lead to a better understanding of physiological processes and, furthermore, it can help reduce the amount of experimental work needed in both research and development. As computational power is increasing, more advanced models can be solved using standard laptop computers. This allows more refined investigations as well as optimizing existing models. When using models it is essential to ensure validity of the models, either by experimental validation or comparison to reference values and data. Furthermore, when doing physiological modelling there are a number of potential pitfalls which has to be taken into account, considering for example selection and implementation of the appropriate numerical minimization algorithm.
This course introduces a number of generic modeling principles and addresses specific methods, ranging from identifiability analysis, model complexity, and parameter estimation to numerical solutions, which may be applied in your own research. The course also focuses on ensuring validity of the applied models. Through this course you will be introduced to and gain experience using the finite element method, which can be used to model a large variety of different physics such as force/strength/strain/displacement; heat transfer; electric transfer. You will gain knowledge and experience using compartmental models, typically used to study kinetics of materials in physiological systems from a whole-body perspective to the cellular level. Finally, you will gain insight into modelling excitable membranes, e.g. the modeling of the excitable membrane found in nerves, muscle fibers and cardiac tissue.
Content of lectures:
· Introduction to modelling
· Ensuring validity of the model
· Finite element modelling
· Compartment modelling
· Modelling of excitable membranes
Literature
Notes, literature and exercise instruction will be distributed at the course
Prerequisites
None
Evaluation
Evaluation by written report. Passed/fail.
Organiser: Associate Professor Steffen Frahm e-mail: ksf@hst.aau.dk
Lecturers: Associate Professor Steffen Frahm, ksf@hst.aau.dk – Associate Professor Lars Pilegaard, lpt@hst.aau.dk – Associate Professor Carsten Dahl Mørch,
cdahl@hst.aau.dk – Professor Johannes Struijk, jjs@hst.aau.dk and invited lectures
ECTS: 2.0
Dates: 2 and 9 October 2023 (08:15-16:15)
Place: Aalborg University, Selma Lagerløfs Vej 249, room 12.01.054 - Guest Canteen
Deadline: 11 September 2023
Program: BEN
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Steffen Frahm
ADVANCED CUTANEOUS STIMULATION
Description
In neuroscience, probing of the sensory nervous system often rely on the use of various types of stimuli. Often these stimuli are directed to the skin, thus investigating the cutaneous senses. There are several reasons for choosing cutaneous stimuli, over other somato-sensory senses, or more invasive stimuli, one of which being simplificity, but there are other advantages of cutaneous stimuli which will be introduced. However, there are also several aspects new users must be aware of when using cutaneous stimuli to obtain valid results.
For research, and in aspects also clinically, a variety of different stimulation methods have been developed. These different methods allow the tested of different neural mechanism and fiber populations. However, each method is also associated with some potential pitfalls
In this course a variety of cutaneous stimulation methods will be introduced and used experimentally. The pros and cons of each method will be discussed and the attention points to ensure valid use, will be explained.
This course will consist of classroom lectures as well as practical laboratory workshops.
The following types of stimuli will be introduced during this course:
· Nerve fiber specific electrical stimulation
· Mechanical (von Frey, pinprick)
· Vibrotactile
· Thermal stimuli (thermode, laser)
· Spatial discrimination tasks, like the 2-point discrimination
Due to the experimental workshops, this course is limited to 15 participants.
Literature
Notes, literature and exercise instruction will be distributed at the course
Prerequisites
None
Evaluation
Evaluation by written report. Passed/fail.Organiser: Associate Professor Steffen Frahm e-mail: ksf@hst.aau.dk
Lecturers: Associate Professor Steffen Frahm, ksf@hst.aau.dk – Associate Professor Carsten Dahl Mørch, cdahl@hst.aau.dk – Assistant Professor Silvia Lo Vecchio,
slv@hst.aau.dk - Associate Professor Saba Gervasio, saba@hst.aau.dk
ECTS: 1.5 (subject to changes)
Dates: 8, 11, 12 May 2023 (08:15-12:00)
Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room SLV 249/11.00.032
Deadline: 17 April 2023
Program: BEN
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Steffen Frahm
Couse name:
Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Spring (2023)
PhD Programme: ?
Description:
Welcome to the course Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search.
This course is aimed at doctoral students and
researchers within health science. You will be introduced to methods,
techniques, and tools relevant for searching, evaluating, and organizing
literature. During the course, you will learn how to design a search strategy
and to conduct and document a systematic search.
The course will cover these essential areas:
- Health scientific information search: How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and Embase. How to choose the right databases for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools. Focus will be on your own research question.
- Documentation and organization of search results: How to document the search and make it transparent to others by using the PRISMA flow diagram. You will be introduced to systems that can facilitate the process of organizing, screening, and handling references from multiple databases and sources.
- Making reviews: How we make sure that the search is exhaustive and as relevant as possible and meets the requirements of different types of reviews.
- Additional search methods: How to improve or supplement your search by using other search methods. You will be introduced to known methods such as citation searching but also to more recent methods such as text mining tools.
The course is a “toolbox for research”-course with a
mix of presentations and hands-on training. You can either work individually
focusing on your own PhD-project, or in small groups with a shared focus.
Preparation before the course: Some reading previous to the course should be expected.
Exercises: There will be both class exercises and a home assignment. The home assignment is introduced during the course. You are required to finish the home assignment at home and return it by a specific date.
Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.
Course language: English
Important: Remember to bring your computer
Organizer: Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk and Sabine Dreier, librarian, M.Li.Sc e-mail: sd@aub.aau.dk
Lecturers: Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk; Sabine Dreier librarian, M.Li.Sc. e-mail: sd@aub.aau.dk
ECTS: 1
Number of participants:
20
Time: 25.04.2023
Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst
Deadline: 04.04.2023
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately app. four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Sabine Dreier
- Teacher: Pernille Skou Gaardsted