Multivariate Prediction Models, Machine Learning and AI with Applications in Precision Medicine

Third-cycle level | 1.5 credits (HEC) | Course code: C8F5694
HT 2025
Study period: 2025-11-17 - 2025-11-21
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2025-04-15 - 2025-05-06
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Course description

This course aims to provide an introduction to both supervised and unsupervised methodologies for prediction modelling with a focus on biomedical applications, molecular epidemiology and personalised medicine. The main objective of the course is to provide basic theory and to facilitate for the course participants to acquire practical knowledge that will enable to apply covered methodologies in their own research.

Prerequisites and Selection

Prerequisite courses, or equivalent

Epidemiology I, Introduction to epidemiology; Epidemiology II, Design of epidemiological studies; Biostatistics I, Introduction for epidemiologists; Biostatistics II, Logistic regression for epidemiologists; and Biostatistics III: Survival analysis for epidemiologists, or equivalent courses

Selection

Eligible doctoral students will be prioritized according to:

1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written information),
2) date for registration as a doctoral student (priority given to earlier registration date).

To be considered, submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, as well as an account of previous courses taken.

Course director

Mattias Rantalainen, mattias.rantalainen@ki.se

Course syllabus

C8F5694

Department

Department of Medical Epidemiology and Biostatistics

Doctoral programme

Epidemiology

Type of course

**Other course

Keywords

Prediction , Machine Learning and AI, Precision Medicine

CONTACTGunilla Nilsson Roos

gunilla.nilsson.roos@ki.se