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Accelerating AI in biology with community-driven benchmarks
Our community-driven benchmarking suite standardizes biological AI model evaluation to accelerate scientific discovery.
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A Deep Look at the Immune System
Sjoukje van der Stegen, a Biohub group lead, is working to understand immune cell development with hopes of expanding access to immunotherapies
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4 ways protein monitoring could change the way we stay healthy
A new perspective paper explores how continuous protein monitoring could help us detect, manage and prevent disease before symptoms appear.
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Inside Precision Medicine: Shana Kelley — Instrumented tissues for monitoring human body in real-time
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Ground Truths: Shana Kelley — biosensors to track proteins and inflammation in our blood in real time
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A model for collaborative scientific impact
Explore the NDCN Impact Report, highlighting advances in science, collaboration, and shared resources to better understand neurodegenerative disease.
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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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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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Nurturing science’s next generation
This summer, the Chicago Biohub welcomed its first cohort of interns
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Venturebeat: CZI's rBio uses virtual cells to train ai, bypassing lab work
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Reasoning with cells
rBio is our new reasoning model trained on virtual cell simulations, helping scientists predict the effect of gene mutations through plain language questions.
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Our future in imaging comes into focus
The Imaging Institute and San Francisco Biohub are coming together to foster collaboration and continue their groundbreaking research.