We aim at enabling better treatment of diseases by taking into account the information in the family and other networks of patients, and more generally ask how can risk assessments and treatments be best improved by taking into account the unique population-wide data of Finland. This requires developing new machine learning methods, and developing them to be privacy-preserving. We start with the leading cause of death in Finland, cardiovascular diseases, and develop the methods to be applicable not only to other diseases but also more widely in personalized decision making problems across fields.

2024

2026