Biohub Leads $1.8B Initiative for AI Models Predicting Cell Behavior

Biohub has launched a $1.8 billion initiative aimed at developing AI models that predict cell behavior, with Alex Rives as the research lead. This effort includes a $500 million pledge made by Biohub in April 2026 for the 'Virtual Biology Initiative'. Significant contributions include $300 million combined from Meta, Google DeepMind, and Isomorphic Labs, as well as a $500 million investment from the US Department of Energy over five years. The National Institutes of Health is coordinating datasets, having previously secured $500 million in federal funding for this purpose.

The initiative will provide commercial funders with one year of exclusive access to the paid datasets before they are made public, as stated by Rives. The first dataset is expected to be ready within one year, and an additional $125 million will be allocated by the OpenAI Foundation towards biological and medical datasets. This follows Biohub's earlier commitment to advancing virtual biology and reflects a growing trend in leveraging AI for biological research.