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The "Cancer Immunotherapy Data Science Challenge: Reprogramming T Cells to Combat Tumors" was born of the desire to leverage rapid advances in single-cell sequencing technologies and the power of machine learning to improve cancer treatment. Scientists have long known that T cells, our immune system’s fighter cells, could play a bigger role in fighting cancer. While researchers have made recent breakthroughs in cancer immunotherapy and T cell engineering, these advances have been limited in their effectiveness for patients. But what if we could modify individual genes in T cells to transform these cells into tumor destroyers? That's why the Eric and Wendy Schmidt Center at the Ó³»­´«Ã½ of MIT and Harvard, the Laboratory for Innovation Science at Harvard, Topcoder, and other collaborators held this challenge — to come together with the machine learning community to develop algorithms that identify genetic changes to T cells that could make them better at killing cancer cells.

The data science challenge ran from January 9-February 3, 2023.

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