The Virtual Biology Initiative, first announced in April 2026, has secured a combined commitment of $1.8 billion in funding, data, computation, and new measurement technology from Biohub, the Department of Energy (DOE), the National Institutes of Health (NIH), and additional partners including Google DeepMind, Isomorphic Labs, and Meta. DOE will contribute more than $500 million over five years for lab measurement, modeling, and computation, while NIH will coordinate the contribution of datasets and knowledge bases derived from over $500 million in prior federal investment aligned to the initiative. Biohub has pledged $500 million of its own, allocating $400 million to new measurement technologies such as cryo-electron tomography and high-throughput microscopy, and $100 million to external research efforts.
The initiative will produce AI-ready open datasets that enable researchers to build predictive models of biological systems, expanding cell response data to interventions across far more cell types and conditions than previously studied. It will also develop and validate technologies for studying cells and cellular interactions at greater scale, speed, and accuracy, supporting the creation of virtual cell models that could accelerate disease understanding and treatment pathways. Partners such as NVIDIA will provide accelerated computing infrastructure and domain‑specific software, while the Allen Institute, Broad Institute, Gladstone Institutes, Human Cell Atlas, Human Protein Atlas, and Wellcome Sanger Institute contribute expertise in organizing large‑scale biological collaborations.
Beyond data generation, the initiative seeks to build a unified data layer with shared standards, common identifiers, and a single point of access, and to foster a scientific community that can jointly pursue ambitious biological questions. Biohub’s prior projects—Tabula Sapiens, OpenCell, Zebrahub—and its community infrastructure projects like CELLxGENE and the CryoET Data Portal provide a foundation for this work. While the announcement outlines the scale of investment and the intended outcomes, specific timelines for data release, governance structures for the open resource, and detailed mechanisms for ensuring long‑term sustainability remain unspecified in the supplied source.