From Biohub · · 1m 40s
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.
In brief
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 create open data for AI models predicting disease treatments. Originally reported by Biohub.
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.
What to remember
Biohub, DOE, NIH and tech firms commit $1.8 billion to create open data for AI models predicting disease treatments.
