OpenAI Foundation launches $125M Public Data for Health program

The initial funding supports three key projects: OpenADMET, which will build datasets to improve drug absorption predictions and reduce clinical trial failures; CTD Commons, which seeks to preserve and share technical documents from failed drug programs to prevent data loss; and the University of North Carolina’s Initiative for Generative Immunotherapy, which will create multimodal data to advance personalized cancer vaccines. These projects focus on connected, scarce, and direct data types that are critical for training advanced AI models in biology.

The foundation emphasizes that all funded data must be broadly available to researchers, with strict adherence to privacy and consent standards. It encourages grantees to share data regularly and publish analyses as preprints. This program is part of the foundation’s Life Sciences and Curing Diseases priority, alongside AI Resilience and Civil Society efforts, signaling a strategic shift toward foundational data infrastructure for AI-driven medical discovery.