Zuckerberg's Biohub leads a $1.8 billion push to build AI models that predict cell behavior

Biohub, the nonprofit research organization backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort to build AI models that predict cell behavior, Reuters reports. The work is intended to speed up drug development, and the organization had already committed $500 million in April to a five-year effort called the Virtual Biology Initiative.

Meta, Google DeepMind, and Isomorphic Labs are together contributing $300 million. Over five years, the US Department of Energy is investing more than $500 million in lab measurements and compute. The National Institutes of Health are coordinating datasets assembled with more than $500 million in prior federal funding, and Biohub's role includes standardizing those datasets so they can be used to train AI models.

Commercial funders receive one year of exclusive access to the data they paid for before it becomes public, according to Biohub research lead Alex Rives. Work funded by the government will carry no such restrictions.

A first dataset is expected to be ready in about a year. Other organizations are running related efforts: Anthropic has built its own biology lab for AI-driven drug development, and the OpenAI Foundation is directing more than $125 million toward biological and medical datasets.

Why it matters: The initiative ties public datasets and commercial funding into a shared modeling effort, and the one-year exclusivity window means companies that pay will see the resulting data before it reaches the wider research community, while government-funded results are to be released without that delay.