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.

    Latest news in AI for healthcare and life sciences

    EECS students Kathleen Esfahany and Maaya Prasad have been featured in the prominent “Poetry of Science” exhibits.

    Left to right: Álvaro Fernández Galiana, Fatima Hussain, Sirma Orguc, and Rebecca Pinals have been named as Schmidt Science Fellows, an honor created in 2017 to encourage young

    Event speakers included (clockwise from top left) W. Eric L. Grimson, Daniel P. Huttenlocher, Steven Truong, and Mariana Arcaya.  “MIT’s work to understand and improve human health spans

    Top row (l-r): James Diao, Fiona Chen, Enrique Toloza; Middle row (l-r): Charlie Changwon Lee, Brian Chang, Aziza Almanakly; Bottom row (l-r): Ashwin Sah, Archana Podury, Alaleh Azhir. Images

    Caroline Uhler’s research blends machine learning and statistics with biology to better understand gene regulation, health, and disease. Despite this lofty mission, Uhler remains dedicated to her original

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