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 you create for this three-part challenge will offer a high-resolution view of IBD by integrating images of inflamed gut tissue with spatial transcriptomics data. You will identify genes that 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 will start in October 2024.
Register now on Crunch at broad.io/MLC-2024.
More information coming soon.