# Virtual Biology Initiative expands with $1.8 billion commitment

> Global AI-ready biological data initiative gains $1.8 billion from U.S. government and tech partners.
- Title: Virtual Biology Initiative expands with $1.8 billion…
- Summary: Global AI-ready biological data initiative gains $1.8 billion from U.S. government and tech partners. Biohub, DOE, NIH and tech firms commit $1.8 billion to…
- Keywords: virtual biology initiative, ai models, disease prediction, doe, nih, biohub, deepmind, isomorphic labs, meta, cell response data, cryo-electron tomography, open data
- Source: Biohub — https://biohub.org/news/virtual-biology-initiative-expansion
- Published: 2026-10-07T13:00:00+00:00
- Read time: 1 min
- Topics: virtual biology initiative, ai models, disease prediction, doe, nih, biohub, deepmind, isomorphic labs, meta, cell response data, cryo-electron tomography, open data
## Global AI-ready biological data initiative
U.S. government and tech partners commit $1.8 billion to build open data for AI models predicting disease treatments.
## DOE invests $500 million over five years
Department of Energy will fund lab measurement, modeling and computation for AI-ready biological data through 2026.
## NIH coordinates $500 million datasets
National Institutes of Health will share existing biomedical datasets and repositories developed through prior federal investments.
## Google DeepMind, Isomorphic Labs and Meta join
Tech companies collectively invest $300 million to create multi-modal datasets for predictive biology models.
## Virtual cell modeling breakthrough
AI models could predict how cells respond to interventions, accelerating disease treatment development.
## Biohub's $400 million technology fund
Biohub funds cryo-electron tomography, advanced microscopy and molecular engineering tools for cellular measurement.
## NIH's universal cell models
NIH aims to create cell models predicting responses to interventions across diverse biological conditions.
## Cross-agency DOE initiative
DOE contributes $500 million over five years for cell research using exascale computing and advanced imaging techniques.
## Virtual Biology Initiative partners
Allen Institute, Broad Institute, Gladstone Institutes and other groups join to build international scientific collaboration.
## Data standardization efforts
Biohub works with NIH to standardize datasets for AI model training across research communities.
## AI for biology breakthrough
Google DeepMind's AI models could predict cellular responses to interventions, accelerating disease treatment.
## Key takeaway

Biohub, DOE, NIH and tech firms commit $1.8 billion to create open data for AI models predicting disease treatments.