Machine Learning for Health (ML4H)
Machine Learning for Health (ML4H) is an effort led by the Broad Institute in collaboration with faculty members from Massachusetts General Hospital, Brigham and Women’s Hospital, and MIT. Our goal is to use machine learning to drive new fundamental research into the genetic underpinnings of disease, disease subgroup classification, and risk prediction with applications in clinical trials and clinical decision support.
Our initial array of projects are focused on cardiovascular disease and healthy aging. Our ultimate vision is to accelerate the real-world impact of clinical ML across all areas of medicine.