MEDIA INQUIRIES
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Scientists are increasingly turning to competitions to leverage machine learning for solving biomedical problems. At the Schmidt Center, we’re taking this work one step further by using machine learning competitions to help prioritize what experiments biologists could run next.
The challenge is now live (as of December 2025)! Your goal: predict how specific gene perturbations influence the fate of fat cells — whether they differentiate into energy-storing white adipocytes or shift toward energy-expending states.
We held a machine learning competition in January 2023, in which participants developed algorithms to uncover new ways to modify, or “perturb,” T cells to make them better cancer-cell killers.
We held a machine learning challenge from October 2024 -- April 2025, in which participants designed algorithms to enable a more accurate diagnosis of inflammatory bowel disease (IBD).
