DIAS event with Søren Brunak: Disease Trajectories - the Future of Humans as Model Organisms

As populations are aging disease patterns are becoming increasingly complex. Patients often suffer from many illnesses simultaneously over the life course. Health data on heterogeneous phenotypes are at the same time accumulating by way of electronic patient records in the healthcare sector, in biobanks and in numerous multi-omics cohort studies. This data richness has given rise to the idea of looking at humans as model organisms and digital twins. An advantage is that results can be of direct relevance to healthcare without the need to transfer results from the animal setting.

The talk will discuss how to analyze data at scale from millions of patients, and present machine learning approaches of relevance for the understanding of complex disease etiologies and the precision medicine agenda. 

About the speaker
Søren Brunak is Professor and Section Head, at Health Data Science & Artificial Intelligence, Department of Public Health, University of Copenhagen. He is a pioneering researcher in bioinformatics and medical informatics, with his work bridges molecular biology and healthcare data, using machine learning to uncover patterns in disease progression and multi-morbidity. By integrating data from biobanks, electronic health records, and cohort studies, Søren Brunak contributes to advancing precision medicine and understanding complex disease mechanisms.

The event is open for all and requires no registration.