NFYK14009U Physics of Molecular Diseases

Volume 2024/2025
Education

BSc Quantitative Biology and Disease Modelling (DTU)

MSc Programme in Molecular Biomedicine
MSc Programme in Nanoscience
MSc Programme in Physics 

 

Content

Diseases are complex dynamical processes, that are often caused by disregulations at the molecular and cellular levels. With the current developments in biology and physics we are at the point where quantitative description and understanding of these processes becomes crucial for treatment and disease prevention.

In this course we will get an overview of where and how physics approaches are contributing to the understanding of the diseases.

Through lectures, article discussions and related computer exercises we will see how simple quantitative models are becoming a powerful tool in understanding not only the causes of isolated diseases, but also uncover similarities across them.

Learning Outcome

Skills
Build and analyze quantitative models of biological systems both at the level of molecular regulatory networks and cell populations. Perform computer simulations of the corresponding models. Critical reading of articles at the cross of several disciplines: biology, physics, mathematics and medicine.

Knowledge
Learn how physics toolbox can be applied for solving a number of interesting, real-world disease related problems including : aggregation processes in protein misfolding diseases (e.g. Parkinson, Alzheimers); excitable media in Heart Arrhythmia and Inflammation; negative feedbacks and separation of time-scales in Type 2 diabetes, diffusion and networks in spreading of Infectious diseases.

Competences
Quantitative understanding of the basic mechanisms behind a variety of the diseases.

In addition the student will develop an intuition where physics approach can be able to relevant understanding the causes for onset and progression of the disease.

Course notes in form of power point slides.

Additional reading material will be posted on Absalon.

Knowledge of Matlab or other programming language.

Academic qualifications equivalent to a BSc degree is recommended.
Lectures, exercises and paper discussion.
It is expected that the student brings laptop with Matlab or other programming environment installed.
  • Category
  • Hours
  • Lectures
  • 32
  • Preparation
  • 114
  • Exercises
  • 48
  • Study Groups
  • 12
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Oral examination, 20 minutes
Type of assessment details
Oral exam, 20 minutes per person
Aid
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
more internal examiners
Re-exam

same as regular exam

Criteria for exam assesment

see learning outcome