Category: AI
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Read more: Crowdsourcing to solve problems in CryoET
Crowdsourcing to solve problems in CryoET
The CZ Imaging Institute hosted a machine learning competition to streamline cryoET data analysis, and achieved milestones in the field along the way.
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Read more: Dynamic duo: powerful new tools show cells in action
Dynamic duo: powerful new tools show cells in action
Ultrack and inTRACKtive, from scientists at CZ Biohub San Francisco, could shake up how biologists study development, cancer, the immune system, and more
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Read more: Teaching AI To Think Like A Cell
Teaching AI To Think Like A Cell
GREmLN, a new kind of AI model, is trained in ‘molecular logic’ and could unlock new frontiers in cancer research.
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Read more: Virtual staining for real cells
Virtual staining for real cells
Developed by CZ Biohub San Francisco scientists, Cytoland promises to accelerate research in cell biology, disease diagnosis, and drug discovery
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Read more: AI powers a better way to diagnose malaria
AI powers a better way to diagnose malaria
CZ Biohub San Francisco’s Remoscope shows promise in clinical study
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Read more: Introducing early access to the Chan Zuckerberg Initiative’s platform for AI cell models
Introducing early access to the Chan Zuckerberg Initiative’s platform for AI cell models
Discover our new, centralized platform offering early access to AI-powered cell models and datasets, designed to simplify collaboration and accelerate biological research breakthroughs.
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Read more: Exploring new frontiers in AI-driven biomedical research
Exploring new frontiers in AI-driven biomedical research
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Read more: Priscilla Chan, Stephen Quake discuss accelerating science with AI at Stanford’s Big Ideas in Medicine
Priscilla Chan, Stephen Quake discuss accelerating science with AI at Stanford’s Big Ideas in Medicine
CZI Co-Founder and Co-CEO Dr. Priscilla Chan and CZI and CZ Biohub Network Head of Science Stephen Quake discuss their work to build one of the world’s largest AI clusters for nonprofit life science research.
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Read more: Exploring the ‘digital age of biology’ with CZI’s science technology team
Exploring the ‘digital age of biology’ with CZI’s science technology team
Teams across the organization and its scientific institutes came together to discuss how advances in AI can uncover fundamental properties of human biology.
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Read more: Solving bottlenecks in cryoET with machine learning
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