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

    Fellowship funds graduate studies for outstanding immigrants and children of immigrants.

    MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.

    A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.

    The Department of Electrical Engineering and Computer Science (EECS) is proud to announce the following promotions: Adam Belay is being promoted to Associate Professor Without Tenure, effective July

    Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

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