Data Science for Life Sciences

Life and health sciences are changing rapidly: new technologies provide large-scale individual data (“omics” data) that can be related to health-related outcomes and medical imaging data. Identifying predisposition factors for disease and making predictions about health is a tremendous challenge for data scientists that we will address by conceiving original data science methods, algorithms, and software to relate omics data to health-related traits. This action is the WP2 of Grenoble Alpes Data Institute.