November 6, 2025
Launching the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease
To power this initiative, we are uniting our scientific teams as a single organization: Biohub.
-
Latent Space: Priscilla Chan and Mark Zuckerberg — Frontier AI + virtual biology to solve all diseases
-
a16z Podcast: Mark Zuckerberg & Priscilla Chan — How AI will cure all disease
-
Associated Press: Zuckerberg, Chan shift bulk of philanthropy to science, focusing on AI and biology to curb disease
-
Axios: Zuckerberg and Chan bet AI can cure all disease
-
Biohub launches first large-scale scientific initiative combining frontier AI with frontier biology to cure or prevent disease
Biohub to unite data, compute, experimental science, and AI to transform and accelerate scientific research.
-
An update from our founders
We're going all in on AI-powered biology for our next chapter.
-
Launching the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease
To power this initiative, we are uniting our scientific teams as a single organization: Biohub.
-
Genomics research for all
VariantFormer is the first deep learning model characterizing cross-tissue gene expression by bridging sequence-based modeling across genomes with population-based modeling across personalized genomes.
-
Modeling cellular diversity
scLDM, a deep generative AI model of transcriptomics, generates realistic single-cell data to accelerate virtual cell research.
-
The Virtual Immune System: A roadmap for predictive human immunology
We are entering a third revolution in immunology with the ability to solve some of the hardest problems in disease, says Aly Khan, Biohub’s senior director of artificial intelligence.
-
Advancing patient-led science through collaboration
The Rare As One Cycle 2 Impact Report highlights how patient communities are accelerating research and reshaping the rare disease landscape.
-
CZI and NVIDIA accelerate virtual cell model development for scientific discovery
Core to this collaboration is an effort to scale biological data processing to petabytes of data spanning billions of cellular observations.