AI for Healthcare and Life Sciences

    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.

    Faculty

    Latest news in AI for healthcare and life sciences

    MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

    The series aims to help policymakers create better oversight of AI in society.

    Cancer nanomedicine was on display at the 2023 White House Demo Day.

    Founded in 2019, The EECS Alliance program connects industry leading companies with EECS students for internships, post graduate employment, networking, and collaborations.  In 2023, it has grown to include over 30 organizations that have either joined the Alliance or participate in its flagship program, 6A.

    During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

    Upcoming events