Explore how researchers can use TranscriptFormer, a generative AI model trained on over 12 million cells from 12 species across 1.5 billion years of evolution.

TranscriptFormer is a new AI model at the nexus of AI and cell biology, helping scientists explore cross-species biology. Explore an interview with two of its builders.

We set an audacious mission to advance the science and technology that will make it possible to cure, prevent and manage all disease by the end of this century.

CZI and Chan Zuckerberg Biohub Network leaders shared a bold vision for the future of science at the Biocom California Converge Summit.

CZI is supporting new ways to see inside cells, share research faster, and deepen our understanding of human biology to help accelerate scientific progress.

On the “Ground Truths” podcast, Eric Topol talks with Steve Quake and Charlotte Bunne about building AI-powered virtual cells — biology’s “holy grail.”

How can AI help scientists predict cell behavior? At SXSW, Dr. Priscilla Chan explored the potential of AI-powered virtual cells in advancing biomedical research.

Preprints are changing science. In this Q&A, openRxiv Board Chair Scott Fraser explains how this new nonprofit will sustain bioRxiv, medRxix and open knowledge sharing.

Landmark single-cell dataset of one billion cells will be used to train new AI models to advance researchers’ understanding of cellular behavior and gene function.

Watch CZI and CZ Biohub Chicago leadership reflect on new scientific achievements, including access to state-of-the-art AI-powered cell models and real-time inflammation biosensors.

Discover our new, centralized platform offering early access to AI-powered cell models and datasets, designed to simplify collaboration and accelerate biological research breakthroughs.