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Machine Learning for Immunotherapy Convergence Team

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Machine Learning for Cancer Immunotherapy

Team Leaders

  • Ernest Fraenkel, PhD

    Team Leader
    Professor in the Department of Biological Engineering at the Massachusetts Institute of Technology
    + Full Bio
  • Regina Barzilay, PhD

    Delta Electronics Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
    + Full Bio

About This Team’s Research

Recent successes in cancer immunotherapy have raised high hopes that these approaches can be expanded to more cancer types and to more patients. However, there are many unmet challenges ahead that will require dramatically new approaches. For example, determining which patients are most likely to benefit from a particular immunotherapy may require integrating diverse types of data (such as lab values) or observational data that are captured in the text of an electronic medical record. As there are no established methods for such complex challenges, this team will develop innovative solutions based on approaches integrating deep, multi-omic analysis of medulloblastoma, machine learning and natural language processing. Ongoing work in breast cancer using a large-scale database of pathology reports to support search and cohort selection according to patient histology, as well as attempts to use raw image data for predicting disease progression and early detection, will be leveraged.

Click here to see a full list of Dream Team members
Click here to see the press release announcement