Phd Course: Disease progression and longitudinal health data science – from omics to electronic clinical records | Prof. S. Brunak - Univ. of Copenhagen

 25 - 27 - 31 March | 3 April 2025 - aula 1 - DMI - Cittadella Universitaria - Viale Andrea Doria, 6 

The course will be taught by Prof. Soren Brunak (University of Copenhagen) as part of his professorship period at the Department of Clinical and Experimental Medicine

This course  explores the complex landscape of disease progression through time, introducing students to the critical distinction between comorbidity and multimorbidity within the framework of temporal disease trajectories. The course advances through methodologies for descriptive analysis of population-wide life course data, providing insights into disease patterns across large populations and extended timeframes. The course delves into cutting-edge applications of deep machine learning for predicting health outcomes using electronic patient records and for integrating clinical data with multi-omics information.
The final segment addresses the practical challenges of implementing these advanced analytical approaches within existing healthcare infrastructures and clinical trial frameworks, preparing students to bridge the gap between theoretical knowledge and real-world healthcare applications.

The course, organized as part of the educational program of the PhD in Translational Biomedicine, is open to all participants.