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    Virtual Biology Initiative aims to generate data for AI models of cells

    A post introducing the initiative names Isomorphic, Google DeepMind and Meta as founding partners.

    Eric TopolET
    Alex RivesAR
    3 Sources, ,

    TLDR

    A post introducing the Virtual Biology Initiative announces a partnership with the DOE and NIH aimed at generating data for accurate AI models of cells. It names Isomorphic, Google DeepMind and Meta as founding partners and says research institutions and NVIDIA are also involved. The author says predictive cell models could let biologists perform experiments digitally, deepen understanding of disease and open paths to cures.

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    3 Sources, first seen 1h ago

    Combined views

    14.7K

    3 Sources, first seen 1h ago

    190 likes
    1h ago
    first seen 1h ago
    190 likes
    11 comments
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    27 reposts
    11 comments
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    27 reposts
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    3 Sources

    Alex Rives@alexrivesA universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. The goal of this partnership is to generate the data that will be needed to build an accurate model of the cell with artificial intelligence. Isomorphic, Google DeepMind, and Meta are joining us as founding partners in the Virtual Biology Initiative. This is the beginning of a large scale coordinated effort to map cellular biology to power the development of digital models of life. Other leading scientific institutions and consortia including the Allen Institute, Broad Institute, Gladstone Institutes, the Human Cell Atlas, the Human Protein Atlas, the Wellcome Sanger Institute, as well as NVIDIA, are working together as part of this international scientific project. Creating a predictive model of the cell is one of the most important challenges for the next decade of science. The insights that come from this could unlock a far greater understanding of disease, and open new paths for cures. We invite the worldwide scientific community and other funders to join us in this effort.1h
    Eric Topol@EricTopol$1.8 billion committed for predictive models of AI biology @czbiohub @czi @GoogleDeepMind, DOE, @NIH, @Meta @IsomorphicLabs https://www.reuters.com/business/healthcare-pharmaceuticals/us-government-google-join-zuckerberg-backed-biohub-18-billion-push-ai-biology-2026-10-07/38m
    Today's Rank

    #2

    Today's Rank

    #2

    3 Sources

    Alex Rives@alexrivesA universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. The goal of this partnership is to generate the data that will be needed to build an accurate model of the cell with artificial intelligence. Isomorphic, Google DeepMind, and Meta are joining us as founding partners in the Virtual Biology Initiative. This is the beginning of a large scale coordinated effort to map cellular biology to power the development of digital models of life. Other leading scientific institutions and consortia including the Allen Institute, Broad Institute, Gladstone Institutes, the Human Cell Atlas, the Human Protein Atlas, the Wellcome Sanger Institute, as well as NVIDIA, are working together as part of this international scientific project. Creating a predictive model of the cell is one of the most important challenges for the next decade of science. The insights that come from this could unlock a far greater understanding of disease, and open new paths for cures. We invite the worldwide scientific community and other funders to join us in this effort.1h
    Eric Topol@EricTopol$1.8 billion committed for predictive models of AI biology @czbiohub @czi @GoogleDeepMind, DOE, @NIH, @Meta @IsomorphicLabs https://www.reuters.com/business/healthcare-pharmaceuticals/us-government-google-join-zuckerberg-backed-biohub-18-billion-push-ai-biology-2026-10-07/38m