The U.S. government, along with tech giants Meta Platforms and Alphabet (Google's parent company), has joined forces with the nonprofit Biohub to advance AI-driven biological research. The collective investment in this initiative has reached $1.8 billion, with Meta, Google DeepMind, and drug discovery startup Isomorphic Labs contributing $300 million. The Department of Energy is committing over $500 million across five years for laboratory measurements, modeling, and computation, while the National Institutes of Health will manage datasets funded by over $500 million in prior federal grants.
The funding supports the Virtual Biology Initiative, which seeks to accelerate drug development by studying how cells respond to various conditions. Priscilla Chan, co-founder of Biohub alongside Meta CEO Mark Zuckerberg, emphasized the collaborative nature of the project, stating, 'Biology has been just sort of a clever discovery-based science until this point.' The datasets generated will eventually be made public, though commercial funders will have an embargo period to work with the data first.
Biohub aims to create predictive models that could drastically reduce the time required for drug development. Current datasets include hundreds of millions of cells, but accurate models will need billions, eventually trillions, of data points. The project plans to deliver its first dataset within a year and expects predictive models within five years. Other AI labs, such as Anthropic and OpenAI, are also investing in similar biological research initiatives.