🚀 Big news! We're welcoming 11 extraordinary new investigators from Columbia University, The Rockefeller University, and Yale University! This cohort is tackling three bold scientific frontiers: decoding how immune cells communicate, measuring immunity at unprecedented resolution, and engineering immune cells with programmable therapeutic capabilities. From spatial CRISPR screens to cryo-electron tomography to AI-ready biological datasets — these projects are designed to move science from correlation to mechanism. Together, we're reprogramming immune cells to detect, prevent, and treat disease. 🙌 Congrats to: Gregory Alushin Alushin, Rockefeller Julien Berro, Yale Rong Fan, Yale Richard Flavell, Yale Emily Mace, Columbia Max Mamonkin, Columbia Michel Nussenzweig, Rockefeller Jeffrey Ravetch, Rockefeller Ken Shepard, Columbia Samuel Sternberg, Columbia Andrew Wang, Yale Learn more ➡️ https://lnkd.in/gsGYig4V
About us
Our mission is to help scientists cure or prevent all disease. At Biohub, we build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With unprecedented scale of compute, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, Biohub is leading the first large-scale scientific initiative to push the frontier of artificial intelligence for biology.
- Website
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https://biohub.org/
External link for Biohub
- Industry
- Biotechnology Research
- Company size
- 201-500 employees
- Headquarters
- Redwood City, California
- Type
- Nonprofit
- Specialties
- Biochemistry, Bioengineering, Bioinformatics, Biomedical Research, Biophysics, Cell Atlas, CRISPR, Genetics, Genomics, Infectious Disease, inflammation, machine learning, metagenomics, software engineering, metabolomics, microscopy, data science, and AI
Locations
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Primary
Get directions
1180 Main St
Redwood City, California 94063, US
Employees at Biohub
Updates
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Cell Biology at Scale is coming to Europe! CB@S brings together researchers working at the intersection of cell biology, high-resolution imaging, functional genomics, computational biology, and AI. The meeting is built on a premise that's easy to state but hard to execute: studying cells at scale isn't just about doing more—it's about doing biology differently. This year, we’re partnering with SciLifeLab, Sweden's national research infrastructure for life science, to discuss the future of cell biology. 📍 Stockholm, Sweden 📅 June 3, 2026. Learn more & register ➡️ https://bit.ly/4cTXIib #AI #Biology #SciTech
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Biohub reposted this
Our first Biohub Investigator meeting of 2026 was made extra special with Renee Wegrzyn joining us to talk about her work at Transfyr. This remarkable initiative uses AI and in-lab hardware to capture and transfer the unspoken "know-how" that is essential in science. Renee highlighted inspiration from her time as the Founding Director of Advanced Research Projects Agency for Health (ARPA-H) and as a Program Manager at Defense Advanced Research Projects Agency (DARPA). We also had great talks from Yogesh Goyal, Auinash Kalsotra, Huiping Liu, Aly Khan, along with our own Payam Dibaeinia and Abdalla Abdrabou, Ph.D. Truly an inspiring day!
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The field spent years engineering better liquid nanoparticles to deliver mRNA therapies. Our scientists asked a different question: what if the cell itself is the bottleneck? Turns out, cells in the body run on a leaner metabolic diet — and that limits LNP uptake. A simple cocktail of 3 amino acids fixes that: 📈 20x mRNA delivery boost 🎯 CRISPR editing efficiency jumps from 25% to ~90% in a single dose 💊 Ingredients already manufactured at scale New in Science Magazine Translational Medicine from Zongjie (Daniel) Wang and Shana Kelley: https://bit.ly/3MXj7MT
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Biohub reposted this
Today we launch the Human Organ Atlas — Think “Google Earth for human organs”. An open-access, interactive 3D portal that allows anyone to explore intact human organs in unprecedented detail, from the scale of the whole organ down to near-cellular structures, users can fly through organs such as the brain, heart, lungs, kidney and liver directly in a web browser. 🔗 Read the paper here: https://lnkd.in/eKRPV64r 🔗 Explore the data: https://lnkd.in/e7SDHbUT The atlas is powered by Hierarchical Phase-Contrast Tomography (HiP-CT), and imaging technique that allows researchers to scan post mortem intact human organs non-destructively and zoom in to resolutions around 50× thinner than a human hair, bridging the long-standing gap between radiology and histology. The Human Organ Atlas is the result of more than five years of collaboration across nine institutes and is built around open science principles. It already provides one of the highest-resolution open 3D datasets of intact human organs available and currently includes: • 62 organs and 300+ full 3D datasets • 11 organ types including brain, heart and placenta • Multiscale imaging - whole organs to near-cellular • Interactive browser-based exploration • Downloadable datasets for research Beyond advancing anatomy and biomedical research, the atlas is designed to support AI development, medical education, and public engagement with science. Large, high-quality 3D biological datasets are rare, and resources like this can help train next-generation machine-learning models while giving students and researchers a new way to explore human biology. This is only the beginning — the atlas will continue to grow with more organs, more datasets and new tools for analysis. A huge thanks to the funders and the amazing team that have made this not only possible but a fantastically fun experience, UCL Engineering, ESRF - The European Synchrotron, Biohub, Peter Lee , David Stansby , Theresa Urban ,Joseph Brunet Andrew Cook, Stijn Verleden, Bernadette de Bakker, Joseph Jacob, Klaus Engel, Andrew Gotz , Alexandre BELLIER, Danny Jonigk , Joanna Purzycka , Ruikang Xue , @Paul Tafforeau. #OpenScience #HumanOrganAtlas #MedicalImaging
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Biohub reposted this
Honored to receive the PMWC - Precision Medicine World Conference Luminary Award. I had the opportunity to talk with Christina Curtis—Stanford professor and Biohub Investigator—about where AI and biology are headed. Christina is using agentic AI to build virtual tissue models of disease, helping shift biology from descriptive to predictive. That shift is core to our work at Biohub. When we bring together frontier AI and frontier biology, we have a real opportunity to better understand how cells behave in health and disease — and to expand what’s possible for patients everywhere.
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Where a T cell is activated during infection shapes what it becomes—and how it behaves long after the infection resolves. New research by Roham Parsa of Biohub, in collaboration with Daniel Mucida's lab at The Rockefeller University, reveals that immune memory is more dynamic and distributed than previously understood. The team developed a new genetic tracking tool, TRACK, that enabled them to follow CD4+ T cells across multiple organs during influenza infection, revealing that each tissue steers T cells toward distinct roles. Understanding how the immune system organizes and remembers responses at the tissue level is foundational to our goal of reprogramming immunity for early disease detection. #Science #Biology #Immunology
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This is what happens when frontier AI and frontier biology work in the same loop: faster discovery, smarter science, and real results for patients. Psoriasis affects over 7.5 million people in the U.S. — and for many, existing treatments still aren't enough. That’s why our team combined frontier AI analysis with rapid CRISPR lab testing to identify previously overlooked biological pathways. Our models pointed to an unexpected candidate: an existing asthma drug. And it worked. This isn't just one result. It's a new model for how we discover treatments for complex diseases. #AI #ML #SciTech #Biology
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Biohub reposted this
New work from our Biohub team highlights how AI can accelerate biological discoveries and the identification of new therapeutic targets. Going from the design of a CRISPR screen to validated druggable targets can take years - this study went from start to finish in months. Congrats to Abdalla Abdrabou, Ph.D. Mushaine Shih Chenlin Zhao and everyone who propelled this effort forward!
Excited to share our new preprint from Biohub, now live on bioRxiv: “AI-Guided CRISPR Screen Accelerates Discovery of New Drug Targets.” https://lnkd.in/gaae2d9M In this study, we performed the first genome-wide CRISPR knockout screen in primary human adult epidermal keratinocytes to systematically identify regulators of IL-17 receptor A (IL17RA), a central signaling node in psoriasis. By combining large-scale functional genomics with AI-guided target prioritization, we uncovered previously unrecognized regulators of IL-17 signaling and repurposed ALOX5 and OXTR inhibitors as therapeutically tractable targets. We used the VirtualCRISPR model not to rank hits, but as a novelty filter: -High AI probability is known in biology -Low AI probability + strong experimental enrichment leads to unexplored regulatory mechanisms This framework enables systematic separation of validation from true discovery—without compromising the unbiased nature of genome-wide screening. Together, these results establish a scalable strategy for integrating AI with functional genomics to accelerate drug target discovery in complex inflammatory diseases. Deeply grateful to my co-first author Chenlin Zhao for driving the experimental work, and to Abdalla Abdrabou, Ph.D., Aly Khan, and Shana Kelley for their strategic vision, mentorship, and steadfast supervision that guided this project from conception to completion. I’m also sincerely thankful to all of my collaborators across Biohub Chicago, Northwestern University, and the University of Chicago for their invaluable contributions and support.
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🩷💙💚💜 We stand in solidarity with the rare disease community worldwide. On #RareDiseaseDay, we light up our offices to honor patients, families, clinicians, and researchers advancing understanding and care. #LightUpForRare #RareAsOne
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