The Gevaert Lab develops machine-learning methods that integrate genomics, pathology, imaging, and clinical data — advancing precision medicine in oncology and cardiovascular disease, and building toward a medical digital twin that predicts disease trajectories and treatment response.
Stanford Medicine · Department of Medicine & Biomedical Data Science · Directed by Olivier Gevaert
We pursue the twin across the molecular-to-clinical stack, each area anchored by open methods:
Open resources — models, datasets, and demos are listed below (non-commercial research; see each repository for license and citation).