Our goal is to develop AI technologies that will change the landscape of healthcare and the life sciences. This includes the whole span from the discovery of biological mechanisms to early disease diagnostics, drug discovery, care personalization and management. Building on MIT’s pioneering history in artificial intelligence and life sciences, we are working on algorithms suitable for modeling biological and clinical data across a range of modalities including imaging, text and genomics.
While achieving this goal, we strive to make new discoveries in machine learning, biology, chemistry and clinical sciences, and translate our discoveries into technologies that can improve people’s lives. While the Jameel Clinic focuses primarily on AI and Health, other research labs and centers affiliated with EECS have groups engaged in AI for healthcare and life sciences, including IMES, CSAIL, LIDS, and the Eric and Wendy Schmidt Center at the Broad Institute.
Latest news in AI for healthcare and life sciences
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The effort aims to transform micronutrient dosing to children by harnessing the power of data.