News
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Launching the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease
To power this initiative, we are uniting our scientific teams as a single organization: Biohub.
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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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The Virtual Immune System: A roadmap for predictive human immunology
We are entering a third revolution in immunology with the ability to solve some of the hardest problems in disease, says Aly Khan, senior director of AI.
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Advancing patient-led science through collaboration
The Rare As One Cycle 2 Impact Report highlights how patient communities are accelerating research and reshaping the rare disease landscape.
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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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Shana Kelley @ STAT Summit: AI-powered technologies for measuring, mapping, and modulating inflammation
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TIME: Why AI companies are racing to build a virtual human cell
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MIT Technology Review: How healthy am I? My immunome knows the score.
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TheScientist: Mass spectrometry reveals protein subcellular localization