News

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  • AI, virtual cells, and a revolutionary platform for biology

  • How open source software is transforming biomedicine

    Open source software is essential for scientific discovery. Explore highlights from our open science program’s recent impact report and gain insights from our grantee community.

  • The Immunology Podcast speaks with Shana Kelley

  • How technology is democratizing genetic research for rare diseases

    Discover how a new genetic prevalence estimate calculator can support advancements and new insights for rare disease research.

  • Exploring the ‘digital age of biology’ with CZI’s science technology team

    Explore key takeaways from CZI’s recent science technology convening, where attendees discussed how advances in AI can uncover fundamental properties of human biology.

  • ESM3: Simulating 500 million years of evolution with a language model

    ESM3 is the first generative model for biology that simultaneously reasons over the sequence, structure, and function of proteins.

  • Solving bottlenecks in cryoET with machine learning

    CZ Imaging Institute scientists mark milestone achievement with annotation of over 13,000 tomograms in just 3.5 days

  • At the intersection of machine learning and life science

    Yasin Şenbabaoğlu, CZ Biohub SF’s new Director of Computational Biology, is working to reveal hidden patterns in health and disease

  • With New Omega Tool, Scientists Can Rapidly Analyze Complex Biological Images through AI-Powered ‘Conversations’

    By lowering technical barriers, Omega democratizes image analysis

  • Lung microbiomes predict mortality in children following bone marrow transplant

    Comprehensive mapping of pathogen populations points way to precision treatments to improve outcomes

  • CZI’s AI Computing System Honored as a ‘World Changing Idea’

    Fast Company recognized the organization’s vision to build predictive models of cells and cell systems to advance the frontiers of science and medicine

  • Priscilla Chan Discusses the Role of AI in Biomedicine With the New York Academy of Sciences

    Priscilla Chan on how AI will pave the way for breakthroughs that will bring scientists closer to curing, preventing, or managing all diseases by the end of this century