Biohub Secures $1.8 Billion for AI Biology Data to Build Universal Virtual Cell
12 Sources
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Google invests millions in Mark Zuckerberg's efforts to create a 'virtual cell'
Google DeepMind, Meta, and AI drug discovery startup Isomorphic Labs are jointly investing $300 million into Biohub, the nonprofit biomedical research organization founded by Mark Zuckerberg and his wife, Priscilla Chan, as reported by Reuters. The funding is part of a $1.8 billion initiative to
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US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data
Oct 7 (Reuters) - The US government and tech heavyweights Meta Platforms (META.O), opens new tab and Google parent Alphabet are joining nonprofit Biohub to build open datasets to train AI models for biological reasearch, bringing total investment in the effort to $1.8 billion, Biohub said on
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Major global alliance invests billions to build predictive AI models of biology
Biohub, the U.S. Department of Energy, the National Institutes of Health, and new funding partners today announced a major expansion of an international effort to generate and make accessible the data enabling predictive AI models of biology. Together, the organizations are investing $1.8 billion
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Meta, Google DeepMind and the US back Biohub's $1.8bn AI biology push
The money will pay to measure how cells respond to change, across far more cell types than studied so far. Commercial funders get a year's head start before Biohub opens the data. Biohub, the US Department of Energy and the National Institutes of Health are putting $1.8bn into data to train AI
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"The beginning of a new scientific paradigm": Zuckerberg's Biohub, U.S. and Google build virtual cell
AI is capable of understanding proteins and other pieces of biology, but modeling an entire living cell is orders of magnitude more complex -- and researchers don't yet have enough of the right data to do it. Driving the news: Biohub, the Department of Energy, the National Institutes of Health,
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US government, tech giants and Biohub commit $1.8B to AI biology initiative
US government, tech giants and Biohub commit $1.8B to AI biology initiative More than a half-dozen public and private sector organizations are teaming up to develop biology datasets for artificial intelligence models. The consortium, which announced the collaboration today, is committing $1.8
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International, Cross-Sector Collaboration Commits Nearly $2 Billion to Build Foundational Data for AI Models to Predict and Treat Disease
Newswise -- REDWOOD CITY, CA, October 7, 2026 -- Biohub, the U.S. Department of Energy, the National Institutes of Health, and new funding partners today announced a major expansion of an international effort to generate and make accessible the data enabling predictive AI models of biology.
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US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data
The US government and tech heavyweights Meta Platforms and Google parent Alphabet are joining nonprofit Biohub to build open datasets to train AI models for biological reasearch, bringing total investment in the effort to $1.8 billion, Biohub said on Wednesday. Meta, Google DeepMind and drug
[9]
Meta, Google Put $300M Into Zuckerberg AI Biology Bet - Meta Platforms (NASDAQ:META)
Meta Platforms Inc. (NASDAQ:META) and two Alphabet Inc. (NASDAQ:GOOGL) units, Google DeepMind and Isomorphic Labs, are jointly putting $300 million into a Mark Zuckerberg-backed effort to build AI models that can predict how living cells behave. The investment expands Biohub's $1.8 billion Virtual
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US Government, Google Back Zuckerberg's USD 1.8 Billion Biology AI Initiative
The US government, Google, and Meta are joining forces with Zuckerberg-backed nonprofit Biohub in a USD 1.8 billion effort to build large-scale biological datasets for artificial intelligence research. The initiative, announced on Wednesday (October 7, 2026), aims to generate enough data on how
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Zuckerberg's Biohub Partners With DOE, NIH to Invest $1.8 Billion in Biological Data for AI Models
A nonprofit co-founded by Mark Zuckerberg is working with the Energy Department, the National Institutes of Health and other funding partners to invest $1.8 billion in building biological data ready for artificial-intelligence models. Biohub said Wednesday the investment will go toward funding,
[12]
US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data
Oct 7 (Reuters) - The US government and tech heavyweights Meta Platforms and Google parent Alphabet are joining nonprofit Biohub to build open datasets to train AI models for biological reasearch, bringing total investment in the effort to $1.8 billion, Biohub said on Wednesday. Meta, Google
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Zuckerberg-backed Biohub announced a $1.8 billion collaboration with Google DeepMind, Meta, the U.S. Department of Energy, and the National Institutes of Health to generate AI-ready biological data. The Virtual Biology Initiative aims to build predictive AI models of biology that could compress drug development timelines from years to months by enabling scientists to digitally simulate biological systems.
Biohub Leads $1.8 Billion AI Biology Initiative
Zuckerberg-backed Biohub has assembled a consortium of tech giants and government agencies to invest $1.8 billion in what researchers are calling the largest coordinated commitment to AI-ready biological data to date
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. The nonprofit biomedical research organization founded by Mark Zuckerberg and Priscilla Chan in 2016 is partnering with Google DeepMind, Meta, Isomorphic Labs, the U.S. Department of Energy, and the National Institutes of Health to build predictive AI models of biology through its Virtual Biology Initiative3
.Google DeepMind, Meta, and AI drug discovery startup Isomorphic Labs are collectively investing $300 million into the project
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. The U.S. Department of Energy will contribute more than $500 million over five years in laboratory measurement, modeling, and computation, drawing on exascale supercomputing, X-ray and neutron scattering, and cryo-electron tomography3
. The National Institutes of Health will coordinate datasets and repositories built with more than $500 million in earlier federal funding2
. These commitments follow Biohub's own $500 million pledge announced in April when it launched the Virtual Biology Initiative4
.Building a Universal Virtual Cell to Transform Scientific Discovery
Source: The Next Web
The initiative aims to create what Biohub calls a "universal virtual cell"—a comprehensive AI model that allows researchers to digitally simulate biological systems and ask, predict, and answer biological questions without conducting every experiment in a physical lab
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. "An accurate predictive model of biology could dramatically accelerate scientific discovery by enabling scientists to perform experiments digitally," said Alex Rives, Biohub's head of science1
. The goal is to compress drug development timelines that currently take years into significantly shorter periods by enabling researchers to test hypotheses virtually before committing to expensive laboratory work2
.Current cell datasets contain hundreds of millions of cells, but an accurate predictive model will require billions and eventually trillions of data points
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. Biohub's strategy involves measuring how cells respond to changes across far more cell types and conditions than scientists have studied so far, using techniques including spatial transcriptomics, which maps molecular activity inside intact tissue2
. "We need to capture the language of biology, we need to capture the language of the cell. And that doesn't exist today," Rives explained2
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Source: SiliconANGLE
Open Datasets With Commercial Head Start
The datasets generated through this collaboration will eventually become open resources for the global scientific community, but with a strategic twist that incentivizes commercial participation
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. Commercial funders including Google DeepMind, Meta, and Isomorphic Labs will receive one year of exclusive access to the data they help develop before it becomes publicly available2
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. "We have to have some incentive for commercial players to be a part of this, and the embargo period creates that," Rives told Axios5
. Government-funded work running in parallel will carry no such restrictions2
.Priscilla Chan emphasized the community-focused nature of the project: "We have always held this as a community asset, not just for one group, so that it can build upon itself over time"
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. Biohub plans to approach pharmaceutical companies and additional philanthropies to expand the consortium further2
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Timeline and Technology Investment
The partners aim to compress work that would normally take decades into five years, with a first dataset expected in about a year and accurate predictive models within five years
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. Of Biohub's $500 million commitment, $400 million supports new measurement technologies including cryo-electron tomography for near-atomic detail inside cells, microscopy capable of imaging millions to billions of cells in living tissue, and engineering tools to build and perturb biology at molecular, cellular, tissue, and whole-organism levels3
. An additional $100 million funds research outside Biohub4
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Source: News-Medical
The collaboration includes participation from the Allen Institute, the Broad Institute, the Gladstone Institutes, the UK's Wellcome Sanger Institute, and the Human Cell Atlas and Human Protein Atlas consortia
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. Nvidia will provide computing and software support4
.Competing in a New Scientific Paradigm
Rives framed the initiative as "the beginning of a new scientific paradigm with AI," noting that biology presents unique challenges compared to other AI domains
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. "The big challenge in biology is to bridge that gap between compute and the digital world and the real physical world of biology and life," he explained. "The way to do that is through data"5
. One critical unanswered question is whether cellular biology will exhibit the same scaling laws seen elsewhere in AI, with models becoming predictably better as they train on increasing amounts of data5
.Other AI labs are pursuing similar initiatives in biomedical research. Anthropic has established its own wet lab for biology efforts, while the OpenAI Foundation launched a grant program exceeding $125 million to fund biological and medical datasets for AI research
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. The race to build predictive AI models of biology could fundamentally change how scientists investigate questions ranging from aging and regeneration to the molecular mechanisms behind diseases like Alzheimer's5
.References
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