Biohub and federal agencies announce $1.8 billion AI-ready biology effort

The expansion was announced on October 7, 2026, by Biohub, DOE and NIH, alongside new funding partners.[1] Biohub says the overall commitment is $1.8 billion across funding, data, computation and measurement technology, and calls it the largest coordinated effort to date to generate AI-ready biological data.[1] The stated goal is an open resource that researchers can use to improve understanding of human diseases and support their eventual treatment.[1]

DOE will invest more than $500 million over five years in laboratory measurement, modeling and computation for the effort.[1] Biohub will work with NIH to standardize those datasets for AI model training.[1] Separately, Google DeepMind, Isomorphic Labs and Meta are collectively investing $300 million in the Virtual Biology Initiative.[1] That initiative was announced in April 2026 to coordinate data generation and build open datasets for predictive models of life.[1]

Biohub says the initiative will expand cell-response data across more cell types and conditions than previously studied.[1] It will also develop and validate technologies for studying cells and cellular interactions at greater scale, speed and accuracy.[1] DOE’s contribution will support fundamental cell research through data collection, AI analytics, measurement and imaging, modeling and computation.[1] The department plans to draw on exascale supercomputing, X-ray and neutron scattering, cryo-electron microscopy and tomography, and autonomous laboratories.[1]

Biohub’s founding $500 million commitment anchors the work, with $400 million supporting new technologies.[1] Other participants include the Allen Institute, Broad Institute, Gladstone Institutes, Human Cell Atlas, Human Protein Atlas and Wellcome Sanger Institute.[1] NVIDIA will contribute accelerated computing infrastructure, specialized software and technical expertise.[1] NIH’s Bio Genesis Mission will bring existing biomedical datasets, national data infrastructure and research programs together for the broader scientific community.[1] Biohub says the resource could let researchers ask, predict and answer biological questions digitally, and the announcement says medical breakthroughs could have substantially faster timelines than attempts relying on laboratory experiments alone.[1]