MEDIA INQUIRIES
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The goal of this year’s machine learning challenge is to design algorithms that will enable a more accurate diagnosis of inflammatory bowel disease (IBD), affecting millions of people worldwide. The algorithms created for this three-part challenge will offer a high-resolution view of IBD by integrating pathology images of inflamed gut tissue with spatial transcriptomics data. Genes will be identified that will serve as markers for potential cancerous regions in the gut, facilitating the early detection and treatment of colorectal cancer. The gene panels developed by top performers will be tested in patient samples through lab experiments at the Broad Institute!
The challenge is now live (as of October 28, 2024) with the following deadlines:
Helpful links and information:
The challenge will be offered as an IAP course in 2025 for MIT students:
The Autoimmune Disease Machine Learning Challenge is hosted in collaboration with the Eric and Wendy Schmidt Center and the Klarman Cell Observatory at the Broad Institute of MIT and Harvard, along with the Crunch Foundation, Foundry, Harvard's Laboratory for Innovation Science, MIT's Department of Electrical Engineering and Computer Science and the Institute for Data, Systems and Society, and the Mass General Hospital Center for the Study of Inflammatory Bowel Disease.
