News
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Genomics research for all
VariantFormer is the first deep learning model characterizing cross-tissue gene expression by bridging sequence-based modeling across genomes with population-based modeling across personalized genomes.
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Modeling cellular diversity
scLDM, a deep generative AI model of transcriptomics, generates realistic single-cell data to accelerate virtual cell research.
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CZI and NVIDIA accelerate virtual cell model development for scientific discovery
Core to this collaboration is an effort to scale biological data processing to petabytes of data spanning billions of cellular observations.
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Citeline News & Insights: Virtual cells — 4 paths to a digital revolution in drug discovery
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Ambrose Carr: 4 strategies for scaling biological data for AI-based discovery
To accelerate biological research with AI, we’ll need specific, shared datasets, says the head of data science at Biohub.
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TIME: Why AI companies are racing to build a virtual human cell
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Accelerating AI in biology with community-driven benchmarks
Our community-driven benchmarking suite standardizes biological AI model evaluation to accelerate scientific discovery.
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A model for collaborative scientific impact
Explore the NDCN Impact Report, highlighting advances in science, collaboration, and shared resources to better understand neurodegenerative disease.
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Dynamic duo: powerful new tools show cells in action
Ultrack and inTRACKtive, from scientists at CZ Biohub San Francisco, could shake up how biologists study development, cancer, the immune system, and more
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Venturebeat: CZI’s rBio uses virtual cells to train ai, bypassing lab work
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Reasoning with cells
rBio is our new reasoning model trained on virtual cell simulations, helping scientists predict the effect of gene mutations through plain language questions.
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Freethink: AI’s next frontier — modeling life itself