Biohub unveiled the Virtual Biology Initiative, a $500 million five-year effort to build predictive models of cellular biology. The organization will commit $100 million to kickstart a coordinated global data-generation effort and $400 million to develop next-generation technologies for measuring, imaging, and engineering biology at scale.

Leading institutions including the Allen Institute, Broad Institute, and Wellcome Sanger Institute are joining alongside consortia like the Human Cell Atlas and Human Protein Atlas. NVIDIA will provide accelerated computing infrastructure and technical expertise. The data generated will be open and freely available to the global scientific community.

Biohub Head of Science Alex Rives stated that achieving accurate predictive models requires orders of magnitude more biological data than currently exists, along with new technologies to observe cells across molecular, spatial, and dynamic dimensions. Jonathan Weissman from MIT called it "the kind of coordinated, openly shared infrastructure that can genuinely change what's possible in biology."

The initiative aims to enable researchers to ask and answer questions digitally at a scale far beyond what laboratory experiments permit today, potentially accelerating discoveries that could lead to new therapies for complex diseases.