Welcome to: Electrocardiography: Basic Physiology, Epidemiology, and Bedside

 

Organizers:

Claus Graff, Prof., Aalborg University, email cgraff@hst.aau.dk

Jonas L. Isaksen, PhD, University of Copenhagen

Jørgen Kanters, Assoc. Prof., University of Copenhagen

Christoffer Polcwiartek, MD PhD, Aalborg University

Stefan Sattler, MD PhD, Gentofte University Hospital

Lecturers:           Invited lecturers

                              (see program here:  https://events.au.dk/electrocardiographybasicphysiologyepidemiologyandbedside/preliminary-program )

ECTS:                   2.0

Dates:                 21, 22, 23 and 24 May 2024

Place:                  Feriecenter Slettestrand, Slettestrandvej 140, 9690 Fjerritslev

Deadline:           17 April 2024

Program:            BEN

Description

This PhD course will enable you to dive into the world of advanced ECG research at Statistics Denmark. Explore arrhythmia models, ion channels, synthetic ECG generation, machine learning, antiarrhythmic drugs, comparative ECGs syncope evaluation, and more!

 Objectives of the PhD course aim to provide a comprehensive understanding of electrocardiography research across various domains, encompassing both basic science and clinical applications. 

Topics

·        ECG research at Statistics Denmark

·        Large and small animal ECG

·        Cardiac ion channels

·        Phenotypical ECG markers

·        ECG in autoimmune and inflammatory diseases

·        Processing and analyzing ECG data from ambulance and hospital sources

·        Synthetic ECG generation

·        Machine learning in ECG research

·        Epidemiological ECG research

·        Clinical EP studies

·        Syncope

·        Biventricular pacemaker therapy

Learning objectives of the PhD course

A PhD student who has met the objectives of the course will be able to:

·        Understand the legal framework governing ECG research at Statistics Denmark, including specific rules and regulations for accessing, handling,  and analyzing data

·        Understand and critically evaluate the strengths and limitations of population-based ECG studies

·        Understand the structure and format of ECG datasets at Statistics Denmark, including the variables, data types, and metadata associated with each record, to facilitate effective data utilization and                         interpretation

·        Explore collaborative research opportunities and interdisciplinary collaborations fostering partnerships with other research institutions to address complex research questions using ECG data

·        Analyze and compare large and small animal models of arrhythmia to elucidate their relevance, advantages, and limitations in translational research for human cardiac electrophysiology

·        Explore cardiac ion channels, action potentials, and tissue level electrophysiology, and apply this knowledge to design and interpret experimental studies

·        Identify and characterize phenotypical ECG markers associated with various cardiac conditions, including their sensitivity, specificity, and clinical significance for diagnosis and risk assessment

·        Analyze the role of ECG in autoimmune and inflammatory diseases affecting the cardiovascular system, including mechanisms of ECG alterations and their implications for disease monitoring

·        Assess the ECG manifestations and drug effects in psychiatric diseases

·        Design and implement algorithms for synthetic ECG generation, considering physiological variations and noise characteristics

·        Understand machine learning techniques to analyze ECG signals for pattern recognition, risk stratification, and predictive modeling in cardiac             arrhythmias and related disorders

·        Analyze the mechanisms of action, pharmacokinetics, and clinical efficacy of antiarrhythmic drugs, including their indications,                                       contraindications, and adverse effects, to optimize therapeutic strategies

·        Examine the diagnostic utility of ECG in syncope evaluation, including differentiating cardiac and noncardiac causes

·        Evaluate the rationale, patient selection criteria, and clinical outcomes of biventricular pacemaker therapy in bundle branch block, integrating             principles of cardiac resynchronization therapy with ECG findings

Program and practical details: Learn more about the PhD course here: https://dcacademy.dk/display/artikel/electrocardiography-basic-physiology-epidemiology-and-bedside

Registration: Please register 1) here on Moodle to obtain ECTS and 2) on the above website.

Evaluation: Active participation

Important information concerning PhD courses: We have over some time experienced problems with no-shows 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 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 registration.

Shaping your research career during your PhD - Faculty of Medicine


Who: PhD students at the Faculty of Medicine

When: 23 august 2024

Deadline: 02.08.2024

Duration: 1 full day

ECTS: 1

Max no. Of participants: 35

Course organizers: Pascal Madeleine, Kristian Østergaard and Salome Kristensen

Course lectures: Prof. Pascal Madeleine (PhD study director), Assoc. Prof. Salome Kristensen, Prof. Sten Rasmussen, and Kristian Østergaard

Place: Aalborg Campus – Slv 249/11.00.032 (36 pers)

Contents:

A PhD study from the Doctoral School in Medicine, Biomedical Science and Technology is not only an outstanding achievement, but also a springboard for future development. It is so that many PhD students will pursue their career in other research and innovation environment like industry, hospital, and public organization. It is thus of extreme relevance to plan your career development based on priorities, possibilities, and goals during your PhD study. The objective of this PhD course is to provide PhD students with tools that can help you to make a career development plan.

This one-day course will explore requirements of pursuing a career within academia as well as within medicine, industry and elsewhere.

You will also have the possibility to start working on how to improve your impact and gain experience with creating an effective academic profile through your CV, online presence, and a dissemination plan. As part of these reflections, AAU can offer career profile test and an individual career talk.

 

Tentative program:

9:00-9:30 Introduction to the course and presentation by Pascal Madeleine

9:30-10:15 Mads Bang, AAU Innovation. From Research to Business

10:15-10:30 Break

10:30-11:15 Presentations from Sten Rasmussen and Salome Kristensen (Department of Clinical Medicine)

11:15-12:00 Round table 1: Questions to Camilla Vasekjær Aakjær Andersen, Salome Kristensen og Sten Rasmussen

12:00-12:30 Lunch

13:00-14:00 Round table 2: Questions to Kristian Hennings, Christopher Aboo and Kenneth Kastaniegaard

14:00-14:30 Career planning: Taking care of you career - the art of moving. Kristian Østergaard

14:30-14:45 Break

14:45-15:15 Exercise: Career Plan

15:15-15:30 Discussion and arranging potential individual sessions. Kristian Østergaard, Salome Kristensen and Pascal Madeleine

Important information concerning PhD courses: We have over some time experienced problems with no-shows 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 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the 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 registration.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk



    PhD Day 2024 – August the 28th 2024

     

    Location: SUND Auditorium (TBC or 12.01.004), Aalborg University, Faculty of Medicine, Selma Lagerlöfs vej 249, 9260 Gistrup

     

    Program:

     Please note that the program differs depending on whether or not you are taking part in the workshop on science communication

    9.00 – 12.00: Workshop on Scientific Communication – Journalist Anders Høeg Lammers, Videnskab.dk. Maximum of 25 participants - SIGN UP UNDER TOPIC 2

     

    12.00 – 12.30: Lunch

     

    12.30 – 13.00: Welcome and News from the Faculty of Medicine – Head of Graduate School, Pascal Madeleine and Vice-dean of Research and Innovation, Ole Kæseler Andersen

     

    13:00- 14:00: Poster presentations and Coffee REGISTER UNDER TOPIC 4 IF YOU WANT TO PRESENT

     

    14.00 – 14.30: Research Storytelling – Journalist Anders Høeg Lammers, Videnskab.dk

     

    14.30 – 15.30: Pitch presentations (Max: 25 participants) REGISTER UNDER TOPIC 3

     

    15.30 – 16.30: Refreshments, Poster and Pitch awards, Networking


Course name:

Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Fall (2024)

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: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk

Lecturers:  Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk

ECTS: 1

Number of participants: 20

Time:  29 October 
2024

Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst

Deadline: 8 October 2024

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.


Welcome to Validation of prediction models in epidemiology and medicin 

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:

  1. The basic differences between explanatory and predictive studies.
  2. Model estimation: variable selection, variable predictive power and penalisation.
  3. Model Performance: N-fold cross validation, bootstrap, geographical and temporal validation, external validation.
  4. Model validity: Calibration and calibration slope, receiver operating characteristic (ROC) curve incl. area under the curve (AUC), Bland-Altman plots, prediction intervals and decision curve analysis.
  5. Sample size estimation for development as well as for validation.
  6. 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.

Important information concerning PhD courses: None.

Literature (in order of priority):

Wynants L, Collins GS, Van Calster B. Key steps and common pitfalls in developing and validating risk models. BJOG. 2017 Feb;124(3):423-432. doi: 10.1111/1471-0528.14170. Epub 2016 Jun 30. PMID: 27362778.

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

Riley RD, Ensor J, Snell KIE, Harrell FE Jr, Martin GP, Reitsma JB, Moons KGM, Collins G, van Smeden M. Calculating the sample size required for developing a clinical prediction model. BMJ. 2020 Mar 18;368:m441. doi: 10.1136/bmj.m441. PMID: 32188600.


Organizer: Simon Grøntved (sigr@dcm.aau.dk), Jan Brink Valentin (jvalentin@dcm.aau.dk)

Lecturers: Jan Brink Valentin, Simon Grøntved

ECTS: 2.5

Time: 8.15 - 15.30.

Dates 22-25 April 2024 (4 days)

Place: 22/4: 11.00.033, 23/4: 11.00.034, 24/4: 11.00.034, 25/4: 11.00.032, Selma Lagerløfs Vej 249

Zip code: 9260 

City: Gistrup

Number of seats: 40

Deadline: 1 April 2024

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.

Couse name:

Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Spring (2024)

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 Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk 

Lecturers:  Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk; Louise Thomsen librarian, M.Li.Sc. e-mail: lt@aub.aau.dk

ECTS: 1

Number of participants: 20

Time:  23 April 2024

Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst

Deadline: 2 April 2024

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.



Welcome to Sixth annual symposium on sport sciences 

ProgramsHES (BEP, CPM)

MANDATORY COURSE FOR HEALTH AND EXERCISE SCIENCE (HES)

***Face to face and online lectures***


Description:

This PhD course will be organized for the sixth time as a continuation of previous symposiums on physical activity and human performance. The 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: Associate Professor Rogerio Pessoto Hirata, email: rirata@hst.aau.dk

Lecturers:

  • Professor Birthe Dinesen
  • Associate Professor Jesper Franch
  • Associate Professor Mark de Zee
  • Associate Professor Mathias Vedsø Kristiansen
  • Professor Pascal Madeleine
  • Associate Professor Ryan Godsk Larsen
  • Organisers invited national and international speakers and speakers from the Dept. of Health Science and Technology and Aalborg University Hospital

ECTS: 1.5

Time: 17 and 18 June 2024 (08:15-16:15)

Place:
Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 27 May 2024

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 3000 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 registration.

Welcome to Physical activities for older adults using digital technologies

ProgramsHES (BEP, CPM)


***Face to face and online lectures***


Description: 

This PhD course will take its asset to one of the main challenges that western countries have to face: The ageing of the society. Ageing is associated with physiological deterioration of the cardio-vascular, pulmonary, and musculoskeletal systems. The focus of the course will be on the digital technologies applied in laboratory- and home-based approaches that can be used to maintain or improve the level of activity of older adults. Aspects related to technology readiness level will be approached.

The detailed agenda of the course will be provided on the course web site. Main topics will include lung function, balance, biomechanics, motor coordination, digital technologies.

Literature:
A reading list with relevant papers and/or book chapters will be announced before the course.

Prerequisites:

Basic knowledge on anatomy, physiology and technology is desirable.

Evaluation:

A multiple-choice test will be used to evaluate the student’s outcome of the course.

 

Organizer: Professor Pascal Madeleine, email: pm@hst.aau.dk

Lecturers:

  • Professor Pascal Madeleine, email: pm@hst.aau.dk
  • Professor Birthe Dinesen
  • Associate Professor Rogerio Pessoto Hirata
  •  Invited national and international speakers and speakers from the Dept. of Health Science and Technology, Aalborg University Hospital and Juntendo University (Japan).


ECTS: 1.0

Time: 31 October and 1 November 2024 (08:15-16:15)

Place: TBA

Zip code: 
9200
 
City: Aalborg

Number of seats: 25

Deadline: 10 October 2024

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 3000 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 registration.

Welcome to Is exercise medicine? Effects of exercise in different clinical populations

ProgramsHES (BEP, CPM)


***Face to face and online lectures***

 Description:

It is widely recognized that regular physical activity and exercise promotes major overall health benefits, and the use of specific exercise is now also being implemented in the health care system to induce positive outcomes in patients suffering from various diseases. As such, “Exercise is medicine” is frequently being marketed by the American College of Sports Medicine to promote the use of exercise in the rehabilitation/treatment of various diseases.

This PhD course will focus on the effects of exercise on diseases such as cancer, tendinopathy, spinal cord injury and obesity. The effect of exercise in the ageing population will also be covered.

As exercise needs to be tailored to the individual in order to have maximum effect, the practical implementation as well as barriers to exercise will be covered as well.

Literature:

A reading list with relevant papers and book chapters will be announced before the course.

Prerequisites:

Basic knowledge on anatomy, physiology and exercise prescription is desirable.

Evaluation:

A multiple-choice test will be used to evaluate the student’s outcome of the course. 

Organizer: Associate Professor Mathias Vedsø Kristiansen, email: mvk@hst.aau.dk

Lecturers: 
  • Associate Professor Mathias Vedsø Kristiansen
  • Associate Professor Rogerio Pessoto Hirata
  • Associate Professor Ryan Godsk Larsen
  • Invited national and international speakers and speakers from the Dept. of Health Science and Technology and Aalborg University Hospital
ECTS: 1.5

Time:  28 and 29 August 2024 (08:15-16:15)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 7 August 2024

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 3000 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 registration.

Welcome to Qualitative research within health science

Programme: Mandatory for Health Care, Health Promotion and Organizations (HCHPO)

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 qualit


Organizer: Henrik Vardinghus-Nielsen

Lecturers: Henrik Vardinghus-Nielsen, Kirsten Schultz Petersen, Kirsten Schultz Petersen, Helle Lønstrup Haslund-Thomsen & 

Jane Andreasen

ECTS: 3

Dates: 3-6 June 2024

Time: Monday 9:00 – 15:30
          Tuesday, Wednesday and Thursday 8:30-15:30

Place: Aalborg University, Selma Lagerløfs Vej 249
Room 12.02.066 (Retina) - 3 and 5 June
Room 11.00.032 - 4 and 6 June 

Zip code: 9260

City: Gistrup

Number of seats: 25

Deadline: 13 May 2024

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.

    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?
    ·     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: 4-5/12 2024

    Time: 9-16

    Place:  TBA

    Zip code: 

    City: 

    Number of seats: 30

    Deadline: 13 November 2024

    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: 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.

    Welcome to Ethnography in health care sciences

    Description:

    Ethnographic research has become increasingly popular in health care sciences. This course provides a solid methodological foundation for using ethnographic research to understand real-world issues in context. Attention will be paid to how ethnographic strategies can be deployed in health care contexts, as a way of illustrating the more general principles of ethnographic work. 

    Over four days, this course will cover core components of the ethnographic approach such as data gathering in fieldwork (various forms of participant observation, interview, field notes and documents), data analysis, ethical issues and writing articles based on ethnography. The course will provide students with an understanding of how to design acand carry out ethnographic research and an awareness of contemporary developments in the theory and practice of ethnographic studies.

    The course is designed for participants and lecturers to engage in different activities such as lectures, practical exercises and discussions of some of the theoretical, methodological and practical issues and challenges in using ethnography. Each participant will give a short presentation of his/hers PhD project and receive feedback from lecturers and participants during the course.

    Organizer:

    Helle Haslund-Thomsen, Associate Professor, PHD, RN et MAH.

    Lecturers: Siri Lygum Voldbjerg (SLV), Britt Laugesen (BL) Kirsten Schultz Petersen (KSP),

    Helle Haslund- Thomsen (HHT),

    ECTS: 3,0

    Dates: 16-19 January 2024

    Time: 
    9-16

    Place: Room 11.00.032, Selma Lagerløfs Vej 249

    Zip code:  9260 Gistrup

    City:  Gistrup

    Number of seats: max 30

    Deadline: 26. Dec 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.


    Literature/Requirements:

    Preparation: Participants must provide an abstract or a brief description (approx. 1 page) of a specific issue or challenge related to ethnography concerning their study.

    Literature:

    Tjørnhøj-Thomsen T & Whyte S. Fieldwork and participant observation, In: Forskningsmetoder I Folkesundhedsvidenskab, Munksgaard, Danmark, pp. 91 – 120.*

    Atkinson P. (2015). For ethnography, SAGE, chapter 1 & 2, pp. 1 – 33.

    Hammersley Martyn, Atkinson Paul: Ethnography, principles in practice. Third edition. Routledge 2003: Chapter 1 and 2

    Madden, Raymond: Being Ethnographic – A guide to the Theory and Practice of Ethnography. Section 1, p 13-55 and section 2, 59-95

    Hammersley Martyn, Atkinson Paul: Ethnography, principles in practice. Third edition. Routledge 2003: Field Relations pp 63-97 (Field relations)

    Hammersley Martyn, Atkinson Paul: Ethnograpy, principles in practice. Third edition. Routledge 2003: Kap 8. The process of analysis. Pp 158-191.

    Higginbottom,Gina, Pillay, Jennifer et.al. (2013). Guidance on performing focused ethnograhies with an emphasis on healthcare research. The Qualitative Report, 18(17), 1-16.

    Knoblauch, H. (2005). Focused ethnography. Forum: Qualitative Social Research, 6(3), 1-14.

    Gerrish K. (2003: Self and others: the rigour and ethics of insider ethnography. In Latimer J (ed) Advanced Qualitative Research for Nursing, Oxford, Blackwell, 77-94.https://ners.unair.ac.id/materikuliah/ADVANCE%20QUALITATIVE%20RESEARCH%20FOR%20NURSING.pdf

     

    Wall, Sarah (2015). Focused Ethnography: A Methodological Adaptation for Social Research in Emerging Contexts [40 paragraphs]. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 16(1), Art. 1,http://nbn-resolving.de/urn:nbn:de:0114-fqs150111

     

    Madden, Raymond: Being Ethnographic – A guide to the Theory and Practice of Ethnography.kap 7: Analysis to interpretation. Sage Publications, London 2010 reprinted 2012 pp 136-151.

    Campbell E & Lassiter, LE. Doing ethnography today, John Wiley & Sons, 2015, pp: 44-83.

    Collins CS, Stockton CM (2018) The Central Role of Theory in Qualitative Research. International Journal of Qualitative Methods Vol. 17: 1–10

    Coffey A & Atkinson P. (1996). Beyond the data, in: Making sense of Qualitative Data, pp. 139-182.

    Bradbury-Jones C, Taylor J, Herber O. How theory is used and articulated in qualitative research: Development of a new typology. Social Science and Medicine, (2014); 120:135-141.

    Gilgun JF. Beyond description to interpretation and theory in qualitative social work research. Qualitative Social Work

    (2015) 14(6) 741–752.

    Secondary literature:

     

    Nutbeam D, Harris E, Wise M. (2010) Theory in a nutschell. A practical guide to health promotion theories. 3. ed. Sydney, AU.   McGraw-Hill.

    Mitchell GJ, Cody WK. (1993). The role of theory in qualitative research. Nursing Science Quarterly, 6; 4:170-178.

    Sandelowsky M (1993) Theory unmasked: the uses and guises of theory in qualitative research. J Int. Soc. Res 3(11) 570-77.

    Campbell E & Lassiter, LE. (2015). Doing ethnography today, John Wiley & Sons, pp. 113 – 137.

    Hannes, K., Lockwood, C., & Pearson, A. (2010). A comparative analysis of three online appraisal instruments’ ability to assess validity in qualitative research. Qualitative health research.

    Atkinson P. (2015). For ethnography, SAGE, chapter 9-10.

    Secondary literature:

    Atkinson P. (2015). For ethnography, SAGE, chapter 9, p. 153 – 171.

    Coffey A & Atkinson P. (1996). Writing and Representation, in: Making sense of Qualitative Data, pp. 108-138. 

    Books 

    Atkinson P. For ethnography, SAGE, 2015

    Campbell E & Lassiter, LE. Doing ethnography today, John Wiley & Sons, 2015.


    Secondary literature:

    Spradley, JP. Participant observation, Wadsworth, 1980

     

     

     

Welcome to Clinical science, laboratory, and translational medicine - intro-course (2024)

PhD Programme: Mandatory for Clinical Science, Laboratory and Translational Medicine (CSLTM) 

Description: An introduction to being a Ph.D. 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; and basic statistics.

This course is mandatory for students in the programme.

Organizer: Søren Risom Kristensen

Lecturers: Mainly supervisors/older PhD-students in the programme

ECTS: 1.5

Time: 24 September 2024

Place: Room 405Forskningens Hus, Sdr. Skovvej 5, Aalborg Universitetshospital

Zip code: 
9000

City: Aalborg

Number of seats: 25

Deadline: 3 September 2024

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.

    Welcome to: PhD Programme: Doctoral School in Medicine, Biomedical Science and Technology

    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

    Dates:           1.                  March 13th
                         2.                  April 29th
                         3.                  June 3rd
                         4.                  August 20th
                         5.                  September 25th

    Time: 8.00 AM – 3.30 PM

    Place: The Skou Auditorium, North Denmark Regional Hospital

    Zip code: 9800

    City: Hjoerring

    Number of seats: 24

    Deadline: February 21st. , 2024

    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)  
    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.

    Welcome to: PhD Programme: Clinical Science, Laboratory and Translational Medicine (CSLTM)

    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 and Clinical Associate Professor Jakob Dal, email: jakob.dal@rn.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

    Time: 08.15 - 15.30December 2th – December 5th, 2024 

    Place: Forskningens Hus, Aalborg Universitetshospital, Søndre Skovvej 15, DK-9000, Aalborg

    Zip code: DK-9000

    City: Aalborg

    Number of seats: 30

    Deadline: 11 November 2024

    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




Welcome to: Big data - from raw data to data integration in clinical research projects

Program: Main CSLTM

·        Biomedicine (B)

·        Clinical and Pharmacological Medicine (CPM)

·        Clinical Science, Laboratory and Translational Medicine (CSLTM) 

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. In most clinical projects a wide range of clinical assessment data are available e.g. gender, BMI, blood and immunological assays as well as Omics based “bigdata”.

This PhD course will focus on basic-to-advanced bioinformatics workflows of Omics data management and processing in Life & Medical sciences. A key focus will be to address statistical and computational workflows needed to integrate drylab and wet lab based data for tables and visualization for research reports and publicaitons.

Literature/Requirements: Prior to the PhD course a package of literature and an R tutorial must be completed

Prerequisites: None; Basic R skills

 Evaluation: Active participation in the theoretical and experimental course.

Organizer: Allan Stensballe

Lecturers: Allan Stensballe & Christopher Aboo

ECTS: 2

Time: 2-4 October 2024

Place: TBA

Zip code:

City:

Number of seats: 25

Deadline: 11 September 2024

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.

PhD Programme: Clinical and Pharmacological Medicine (Mandatory course for the programme)

Description: 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.

Literature/Requirements: Not required - only recommended: Snart er vi alle patienter. Overdiagnostik i medicinske og samfundsfaglige perspektiver. Alexandra Brandt Ryborg Jønsson og John Brandt Brodersen.

Organizer: Professor Anne Estrup Olesen, aneso@dcm.aau.dk

Lecturers: Associate Professor Alexandra Brandt Ryborg Jønsson & Professor John Brandt Brodersen

ECTS: 1.5 ECTS (one-day course)

Dates: November  2024

Time: 
8.30-16.30

Place: Aalborg University

Zip code:  9260

City: Gistrup

Number of seats: 50

Deadline:  18 October 2024

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 registration.


Welcome to: Components of causal inference with focus on assumptions and confounding control 

PhD Programme: Epidemiology & Biostatistics 

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

Organizer: Peter Brønnum Nielsen, PhD, Assoc. Prof., Department of Clinical Medicine, AAU

Lecturers: Søren Paaske Johnsen, Peter Brønnum Nielsen, Chalotte W. Nicolajsen, +additional

ECTS: 2.5 ECTS

Date: 18-20 November 2024

Time: 9:00-15:30

Place: SUND building, Aalborg University, Selma Lagerløfs Vej 249

Zip code:
9260 

City: Gistrup

Number of seats: 25

Deadline: 28 October 2024

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.

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 3000 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 registration.


Welcome to Epidemiology - basic principles

Program: EB - MANDATORY COURSE FOR Epidemiology and Biostatistics (EB)


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 aggregated, cross-sectional, cohort, 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


Literature/Requirements: TBA

Prerequisites: None

Evaluation: Participating in group discussions

Organizer: Henrik Bøggild, PhD, associate professor

Lecturers:  Henrik Bøggild, PhD, associate professor & others

ECTS: 2

Time: 9, 10, 26, 27 September 2024

Place: Room 405 – Forskningens Hus, Sdr. Skovvej 15

Zip code: 
9000

City: Aalborg

Number of seats: 25

Deadline: 19 August 2024

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.

Couse name: Combining nationwide registries with the national biobank in Denmark 

PhD Programme: EB

Description: Connected through a single personal identification number, the CPR, Denmark contains one of the most comprehensive audits of epidemiologically relevant data globally stored within nationwide registries. Furthering its power, linking the CPR to the Danish National Biobank allows for connecting granular registry data to biological samples stored agnostic of its research purposes. Linking these two resources in tandem can contribute to major scientific advances (examples relevant from the organising department can be found here: https://www.predictibd.dk/publications). In this course, you will be introduced to both nationwide registries and the Danish National biobank and learn how these resources can be combined. You will get an in-depth understanding of the resources through lectures about their content, their advantages and limitations, and through examples of their use for scientific research.

The course will be held in English. 

Specific topics include:

-        Contents of the national registers and the Danish National biobank

-        How to access data and samples

-        Gaining permissions and adhering to GDPR rules

-        Examples of ongoing and recently published studies

Also, you will in groups, prepare and present a mock case study based on data from the registries and the Danish National Biobank.

Organizer: Post.doc. Maiara Brusco De Freitas, post.doc. Anthony EbertPost.doc. Adam Koziol, Professor Tine Jess, and Associate Professor Kristine Allin, Center for Molecular Prediction of Inflammatory Bowel Disease – PREDICT. Post.doc. Adam Koziol, Professor Tine Jess, and Associate Professor Kristine Allin, Center for Molecular Prediction of Inflammatory Bowel Disease – PREDICT.

Lecturers: The course will include lectures from researchers at PREDICT and external speakers from Statens Serum Institut.

ECTS: 2,5

Dates: 29-31 May 2024

Time: 
9:00 – 16:00

Place: Aalborg University, Copenhagen, Room 2.1.005 (Globegangen), A.C. Meyers Vænge 15, Bygning A, 2450 Kbh S

Zip code:  2400

City:  Copenhagen

Number of seats: 25

Deadline: 12 May 2024

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.


Welcome to Turning a basic research idea into a medicine development project

Program: B (CPM, CSLTM) - MANDATORY COURSE FOR BIOMEDICINE (B)

Description:

The goal of the Ph.D. course:

Doing research is fun and exciting, but to transform your research into something that can be developed for patients or into a business is often more difficult than thought.

Introduction and setup:

To identify what the target is, how the target can be used to do something useful for a patient. Just a basic question like which disease should we go after? Often a pathway or protein or process is involved in diverse types of diseases. Which one should we pick, and why pick a specific disease.

Based on experience from both academic research and biotech we will go into several projects, both with success and ones that did not work out. See what the critical parts were, and where were the successes.

Also, what are some simple things that need to be in place for being able to develop a project, like can you measure activity of the project, IC50 of an enzyme, animal model to show it works. Toxicity, pharmacodynamics etc. how can one optimize the effects of the treatment etc.

Furthermore, management of a project, resources, financial, advisory board etc.

The course will involve a project where the students will take a target, they do their PhD on, and see how to make such a project in a biotech ready business.

Setup: Lecture (via internet, if necessary) and individual or project group wise project feedback session with the course coordinator, as well as a day presenting the projects with Q & A with the other students.

Literature/Requirements: TBA

Prerequisites: Basic biomedicine understanding and a drive for making a change.

Evaluation: Passed/ not passed

Organizer: Associate Professor John Dirk Vestergaard Nieland, email: jdn@hst.aau.dk

Lecturers: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.033

ECTS: 2.5

Time: 1, 2 and 16 May 2024 (08:15-16.15) (NB: 16 May is a new date)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup

1 & 2 May 2024: room 11.00.033
16 May 2024: room 11.00.032

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline: 10 April 2024

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 3000 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 registration.



Welcome to Teaching with problem-based medical cases: theoretical and practical foundation for case facilitators

Program: Relevant for all who work with/wants to work with medical cases, including B, CPM, CSLTM, HEP


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 analyze 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.


Organizer: Associate Professor Tue Bjerg Bennike, email: tbe@hst.aau.dk

Lecturers:           

  • Associate Professor Patrik Kjærsdam Telléus
  • Associate Professor Tue Bjerg Bennike
  • Associate Professor Louiza Bohn Thomsen
  • Associate Professor Trine Fink


ECTS: 1.0

Time: 19 August 2024 (8:15-16:15)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 29 July 2024

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 3000 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 registration.
Welcome to Fundamentals of Clinical Data Science

PhD Program: Biomedicine (B)

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, Center for Clinical Data Science, Department of Clinical Medicine, rfb@dcm.aau.dk

Martin Bøgsted, Professor,  Center for Clinical Data Science, Department of Clinical Medicine, m_boegsted@dcm.aau.dk

Clara Bender, Assistant Professor, Department of Health Science and Technology,  csch@hst.aau.dk

Lecturers: 

Rasmus Froberg Brøndum, Associate Professor, Center for Clinical Data Science, Department of Clinical Medicine, AAU

Charles Vesteghem, Assistant Professor, Center for Clinical Data Science, Department of Clinical Medicine, AAU

Clara Bender, Assistant Professor, Department of Health Science and Technology, AAU

Andreas Møgelmose, Associate 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

Susanne Andersen, Academic Officer, Grants & Contracts, AAU

Mads Lause Mogensen, Chief Executive Officer, Treat Systems

Roman Jurowetzki , Associate Professor, Aalborg University Business School 

ECTS: 2.5

Dates: June 24 – 26, 2024 (3 days)

Time: 
8:30 – 16:00

Place: AAU SUND, Room 11.00.032, Selma Lagerløfs Vej 249, 9260 Gistrup,

Deadline: 3 June 2024

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: link


Program

Lectures are divided into two morning lectures and two afternoon lectures. Each lecture block includes group discussions, where students will try to apply the principles to their own case.

Day 1: Intro and data sources (Monday, June 24)

08.30 – 09:15 Introduction to course (Rasmus Brøndum)

09:15 – 10.00: Introduction of cases for exercise (and group work)

10.00 – 10.30: Break

10.30 – 12:00: Collection of data from registries and RedCAP (Charles Vesteghem)

12.00 – 12.30: Lunch Break

12.30 – 14.00: Extraction of information from unstructured data using NLP (Roman Jurowetzki)

14.00 – 14:30: Break

14:30 – 15.30:  Legal requirements for starting a data science project (Susanne Andersen)

 

Day 2: Modelling (Tuesday, Jun 25)

08.30 – 10.00: Predictive models and validation (Jan Valentin)

10.00 – 10.30: Break

10.30 – 12.00: Modelling image data (Lasse Riis Østergård)

12.00 – 12.30: Lunch Break

12:30 – 14.30: Deep learning and explainable AI + break + Ethics (Andreas Møgelmose)

14.30 – 15:30: Break + group work


Day 3: From model to clinic (Wednesday,  June 26)

08.15 – 09:00:  Case story: TREAT systems (Mads Lause)

09:15 – 10:00: Introduction of final exercise and how to build a mock-up (Clara Bender)

10.00 – 10.30: Break

10.30 – 11:15: Group work: Low-Fi mock-up

11:15 – 12:00: Group work: Quick pitches, feedback and re-design of prototypes

12.00 – 12.30: Lunch Break.

12.30 – 13.30: Group work: High-Fi mock-up.

13:30 - 15:00: Group presentations of final prototypes.

15.00 – 15.30: Course wrap up. Break, cake and evaluation


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 3000 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 registration.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk


    Welcome to Machine learning in health technology

    ProgramBEN

    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.

    Organizer: Thomas Kronborg Larsen, email: tkl@hst.aau.dk

    Lecturers: 

    ECTS: 2

    Time: 13, 14 November and 12 December 2024 (08:15-16:15)

    Place: TBA

    Zip code: 
    9220

    City: Aalborg

    Number of seats: 25

    Deadline: 23 October 2024

    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 3000 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 registration.

Welcome to Translational neurobiology of the pain system xxix: forward and backward translation of pain neuroplasticity 

Programme: BEN


Description: This is the twenty-ninth 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. A key challenge in pain research is to translate basic animal findings to relevant clinical scenarios, an vice versa. In fact, this is likely the main problem for the lack of efficient pain treatment. This year the course will focus on pain neuroplasticity and where possible linking preclinical models to experimental and clinical pain manifestations. This includes increased and decreased gain of pain mechanisms (e.g., sensitisation and descending inhibitory control). Various models will be presented such as pain in osteoarthritis and neuropathies. 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.

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.

Fee: 
A participation fee will be charged for catering (amount TBA).
 
Organizer: Professor Thomas Graven-Nielsen, email: tgn@hst.aau.dk

Lecturers: Invited internal and external speakers

ECTS: 1

Time: 27 and 28 November 2024 (09:00-16:00)      

Place: TBA

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 6 November 2024

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.

Welcome to 3rd symposium on the advances in biomedical engineering and neuroscience

ProgramBEN - MANDATORY COURSE FOR BIOMEDICAL ENGINEERING AND NEUROSCIENCE 

Description: The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering science to address relevant health care problems. This course will be organized annually and will include a series of lectures from internationally recognized speakers and from speakers from Aalborg University that are experts within the field. During the symposium, some time will be dedicated to the facilitation of interaction between the speakers and participants. The detailed agenda of the course will be provided on the course web site. Main topics can include electrophysiology, psychophysics, bio-signal processing, biostatistics, rehabilitation technology, machine learning, physiological modeling, decision support, big data, image analysis and computational neuroscience but also topics relevant for the life as a PhD student such as management of a research project, risk analysis and mitigation, etc.

 

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).

Organizer: Sabata Gervasio, email: saba@hst.aau.dk

Lecturers: Invited lecturers and lecturers from the Department of Health Science and Technology and Clinical Medicine

ECTS: 1.5

Time: 5 and 6 December 2024 (08:15-16:15)

Place: TBA

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 14 November 2024

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 3000 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 registration.
Welcome to Method comparison, reliability, and agreement 

Programme:
 BEN

Description: 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
  •  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

Time: 11 and 12 April 2024 (08:15-16:15)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Number of seats: 25

Deadline: 21 March 2024

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 3000 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 registration.
    Welcome to Matlab for non-engineers: basic data processing and optimization/motion analysis – data acquisition and basic processing (2024)

    Programme: BEN
    ***Online course***            


    Description: 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, 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:

    1.      Introduction: basic operations and file management (importing, loading, saving files)

    2.      Data visualization, matrix manipulation

    3.      Code optimization: reducing processing time and minimizing changes of errors

    4.      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.

    Organizer: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk

    Lecturers: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk

    ECTS: 3

    Time: 11, 18 & 25 March, 15 & 22 April, 13 May 2024 (12:30-16:15)

    Place: 
    Online, Aalborg University

    Number of seats: 25

    Deadline: 19 February 2024

    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 3000 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 registration.


Welcome to: Large animal models to drive pre-clinical translational research - the pig symposium (2024)

Program:            BEN

Description: In recent years, there has been a scientific push to develop translational preclinical large animal models that can bridge the gap between animal studies and human clinical trials. While the use of live animals should be replaced wherever possible, animal models are still necessary to generate data in support of conducting human clinical trials. Among these models, pigs have gained significant attention due to their similarities to humans in terms of proteomics, genomics, and immunology. Pigs, along with other large animal species such as sheep and goats, have been successfully utilized in various fields of medical research, including cardiovascular, respiratory, gastrointestinal, immune, musculoskeletal, neurological, and cancer studies. Importantly, pigs satisfy the evaluation requirements set by regulatory bodies, such as the Food and Drug Administration (FDA), for pharmaceutical drugs. 

The anatomical and physiological similarities shared between pigs and humans enable the application of anesthetic techniques, drug administration methods, advanced imaging technologies, translational Omics biomarker studies and surgical procedures that closely resemble those used in human patients. By utilizing pigs as an intermediary step as much superior model compared to rodents, researchers hope to improve the translational efficacy of preclinical evaluations, leading to the development of more effective therapies with enhanced efficacy and reduced adverse effects. The potential for translational data generated from these models to overcome the limitations of rodent models and facilitate advancements in understanding and treating various disease conditions is promising.

This symposium will focus on presenting recent advances in the use of pigs as a large animal model to drive pre-clinical translational research.

Themes for 2024

  •  Translational models
  •  New applications 

Literature/Requirements: A series of journal papers that will be provided -- TBD
 
Prerequisites: None – experience with or interest with animal experimental science may be an advantage
 
Evaluation: 
Written.
A list of papers and associated questions will be made available by the speakers. 
The student should pick 3 papers/questions and address these in a written report (3 pages maximum)
The written report is due Thursday June 27th 
Time is allocated on day 2 of the program in the afternoon to work on the written report. 

 

Dates:                  
Wednesday June 12    Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 12.02.066, 8.30am-17pm NB: New room!

Thursday June 13th  Dept. of Pathology, Aalborg University Hospital, Ladegårdsgade 12, 9000 Aalborg, 8.30-16 pm


Program:

WEDNESDAY JUNE 12 - SLV, AAU

Title 

Speaker

Affilliation

8.30-10.00

Pig models in opthamology 

Dept. Of Clinical Medicine, Aalborg University Hospital

Piglet models for neonate research 

Dept. Of Veterinary and Animal Sciences, Copenhagen University 

MultiOMICs in translational clinical research  - a key immunological role for the pig

Dept. of Health Science and Technology, Aalborg University

Coffe

10.30-11.30

Leveraging electrophysiological approaches from rodents in pigs: exploring translational possibilities

Lundbeck A/S

Why Pigs are Promising Models for Developing Neural Interfaces

Dept. of Health Science and Technology, Aalborg University

Lunch

12.30-14.00

Post operative pain: from humans to pigs and back to humans

mdbiosciences, Israel 

Behavioural testing 

Dept. of Animal and Veterinary Scinces, Aarhus University

Neuropathic pain in pigs – translational perspectives on electrophysiology and behavioral analysis

Dept. of Health Science and Technology, Aalborg University

Coffe

14.30-16.00

Intracerebral pharmacokinetics in pigs

Dept. Of Clinical Medicine, AAU

Principles of stereotaxic surgery in large animal model

DeptClinical MedicineDept. Of Neurosurgery, Aarhus University

Advantages and disadvantages of large animal models of stroke 

Dept. of Health Science and Technology, Aalborg University

16.00-17.00

Labtour

Dept. of Health Science and Technology, Aalborg University

THURSDAY JUNE 13 - LADEGÅRDSGADE 

8.30-12.00

TBD

Dept. Of Clinical Medicine, Aalborg University Hospital

Labtour - Ladegårdsgade (large animal facilities)

Dept. Of Clinical Medicine, Aalborg University Hospital

Coffe

Göttingen mini-pigs 

Ellegaard Göttingen Minipigs

3R in animal research 

Dept. of Clinical Medicine, Aarhus University

12.00-16.00

Time allocated for PhD students to complete assignment to pass the course activity


   

Organizers:          

Professor Winnie Jensen, Associate Professor Suzan Meijs, Associate Professor Allan Steensballe, Assistant Professor Felipe Rettore Andreis

ECTS:                   1.5

Deadline:           May 23rd 2024


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 3000 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 registration.



Welcome to Assessment and Modulation of Pain Mechanisms - a theoretical and hands-on course 


Organiser: Associate Professor Kristian Kjær Petersen, email: kkp@hst.aau.dk

Lecturers: Associate Professor Kristian Kjær Petersen, Associate Professor Daniel Ciampi de Andrade, Associate Professor Laura Petrini

ECTS1.5

Dates: 13,14 and 15 March 2024 (08:15-16:15)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Deadline: 21 February 2024

Number of seats: 25

Program: BEN (This course is relevant for all PhD students working with pain in humans)

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 that 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.


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



Welcome to Neurophysiology/neuromechanics in human motor control

Programme: Ben 

Description:

Controlling human movement involves intrinsic neurophysiological features that modulate motor actions. Motor actions occur predominantly against some type of mechanical resistance and/or environmental interaction. It has become evident that a true understanding of human movement requires one to gather knowledge in human neurophysiology and neuromechanics.

This course offers PhD students a basic background on relevant aspects of neural control of movements, which often merge physiological and mechanical factors to explain motor performance. We will invite world-class researchers from the fields of neurophysiology and neuromechanics to share their latest findings in applied research towards improvements in human performance and neurorehabilitation. In addition, the course will offer a practical session of recordings involving relevant methods in neurophysiology/neuromechanics, such as EEG, EMG, and force control. The aim is to provide students with introductory knowledge and practical skills to conduct studies regarding neural control of movements.

 Topics covered in the course will include basic physiological and mechanical factors of movement control, novel methods in neurophysiology and neuromechanics research, control of human locomotion and cyclical movements, control of upper limb movements (reaching and grasping), and perspectives in neurorehabilitation. Students will have the opportunity to reflect on these research trends and discuss the potential use of neurophysiological measurements in their own PhD studies by performing presentations during the course.

 

Literature/Requirements:

Selected papers and book chapters will be provided to the participants shortly before the course.

 

Prerequisites:

A basic background within anatomy and physiology is desirable. Knowledge in movement biomechanics is desirable, but not necessary.

 

Evaluation:

Students will be asked to make a presentation integrating the content from lectures to solving aspects of their PhD projects. The three lecturers will be present during the presentations, maximizing the possibility of providing useful feedback to the students.


Organizer: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk

Lecturers: 
  • Associate Professor Anderson Oliveira
  • Associate Professor Andrew J.T. Stevenson
  • Professor Strahinja Dosen
  • Local and external speakers

ECTS: 2.3

Time: 23, 24 October and 22 November 2024 (08:15-16:15)

Place: TBA

Zip code: 
9220

City: Aalborg

Number of seats: 25

Deadline: 2 October 2024

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 registration.

Cancelled!! 

Welcome to Advanced cutaneous stimulation 

Organizer: 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                                                                                           

Dates: 21, 27 and 28 May 2024 (8:15-12:00)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Deadline: 30 April 2024

Number of seats: 25

Program: BEN

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 somatosensory senses, or more invasive stimuli, one of which being simplicity, 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.

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.