AI-ready biological data: $1.8B global commitment

On October 7, 2026, prominent organizations announced a significant $1.8 billion global commitment to generate and make accessible AI-ready biological data. The partnership between the U.S. Department of Energy (DOE), National Institutes of Health (NIH), Biohub, Google DeepMind, Isomorphic Labs, and Meta aims to advance predictive AI models of biology.

This major investment will provide the research community with an open resource to understand and treat human diseases more effectively. Biohub's $500 million commitment focuses on lab measurement, modeling, and computation while NIH coordinates the contribution of relevant datasets. Google DeepMind, Isomorphic Labs, and Meta collectively invest $300 million in the Virtual Biology Initiative, aiming to create technologies and multi-modal datasets for predictive biological modeling.

The initiative aims to generate vast cell response data to interventions across various cell types and conditions, expanding the scale, speed, and accuracy of studying cells and cellular interactions. Biohub's Head of Science, Alex Rives, emphasized the importance of accurate predictive models in accelerating scientific discovery and unlocking new paths for disease treatment.