Biohub’s cover photo
Biohub

Biohub

Biotechnology Research

Redwood City, California 53,434 followers

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
https://biohub.org/
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

Employees at Biohub

Updates

  • View organization page for Biohub

    53,434 followers

    A new protein-based system enables long-term records of gene activity in single cells, without continuous live imaging, making it easier to study how gene expression changes over days and weeks. Biohub grantees Changyang Linghu and Denise Cai are part of a groundbreaking paper out in Nature today. 👏 This foundational work helps us better understand memory, learning, and aging. #imaging #science #biology #neuroscience

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  • View organization page for Biohub

    53,434 followers

    Accelerating discovery requires deep, open collaboration. We're proud to join forces with Arc Institute and Tahoe Therapeutics to create the largest perturbation-rich single-cell dataset to date.

    Thrilled that Biohub is partnering with Tahoe Therapeutics and Arc Institute on a foundational effort to advance virtual cell model development. This collaboration will generate the largest perturbation-rich single-cell dataset to date—120M+ cells and 225,000 perturbation interactions—and eventually be openly available to the global scientific community. At Biohub, our commitment to open science is central to how we approach AI-powered biology. Efforts like this reflect a shared belief that accelerating discovery requires scale, openness, and deep collaboration across institutions. I’m excited to see how this resource helps researchers better understand disease and move science forward for patients everywhere.

  • Biohub reposted this

    I'm thrilled to share the first dataset from the Billion Cells Project to be released publicly, from the Alex Marson Lab at Gladstone Institutes—the largest in-vivo single-cell perturbation dataset to date. https://lnkd.in/e6ntMJ9W This dataset captures over 22 million primary CD4+ T cells with genome-scale perturbations of all expressed genes, revealing regulators of key immune genes like IL-10 and IL-21, and insights into T cell polarization, aging, and disease-linked genes, making it a groundbreaking resource for the cell science community. Researchers can download the dataset via our Data CLI. Learn more at the Virtual Cells Platform: https://lnkd.in/eviv9Tbg

  • View organization page for Biohub

    53,434 followers

    Taking images of biological samples, even with the most advanced microscopes, isn’t always simple. Differences in how the images are captured, or changes in how the samples are processed, can distort the data and make it harder to see what’s really going on. WaveOrder uses math and physics to understand exactly how different microscopes and light sources affect what we see. Then, it reverses those effects to reconstruct what’s really happening in the cells and tissues. Think of it like restoring an old, damaged photo, but instead of doing it for aesthetic purposes, it reveals important biological details within samples. Here you can see cells captured by three different microscopy techniques (orientation, brightfield and fluorescence); the tiny green specks in the last set are immune cells known as macrophages, which are much sharper and easier to see after reconstruction. By making the invisible visible, WaveOrder can strengthen cutting-edge imaging tools, helping to make the AI models built on that data more accurate and reliable.

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  • View organization page for Biohub

    53,434 followers

    Still buzzing from #NeurIPS2025! Our team shared work spanning protein language models, single-cell generative modeling, biological reasoning systems, all open and easily accessible via the Virtual Cells Platform. A huge thank you to the scientists, collaborators and partners who stopped by to learn, exchange ideas, and push the field forward. Your feedback and curiosity are what make this community so special. We’re energized for what comes next—and proud to help build the future of AI-powered biology. #NeurIPS #AI #Biology #VirtualCells

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  • View organization page for Biohub

    53,434 followers

    From capturing biological processes across scales to building datasets and models that accelerate scientific discovery, Biohub innovations and tools are designed to be shared freely. We’re excited to convene with leading cell scientists from around the world at #CellBio2025 to help shape what comes next! ⭐ Sandra Schmid, this year’s recipient of American Society for Cell Biology (ASCB)'s E.B. Wilson Medal for “far-reaching contributions to cell biology over a lifetime in science,” will be sharing insights on the future of cell biology. ⭐ Manuel Leonetti is moderating a session on cell biology at scale that will explore new technologies for systematic, large-scale interrogation of cellular processes ⭐ For those at the conference, meet our scientists at booth #301 and check out some of our latest tools to accelerate your research.

  • View organization page for Biohub

    53,434 followers

    Scientists can now view entire organs at nanoscale resolution thanks to a new tech called VIPS —Volumetric Imaging via Photochemical Sectioning. Recently featured on the cover of Science Magazine, VIPS overcomes a long-standing limit of light microscopy and opens incredible new ways to see how cells and circuits change during disease. Led in part by Gokul Upadhyayula, the method uses light instead of physical blades to remove tissue, layer by layer, while keeping every structure intact for stunning 3D reconstructions. With this level of clarity, researchers can watch how disease rewires cells and their connections, insights that can ultimately point us toward better prevention, treatments, and cures. Read more: https://bit.ly/4oxOzhn

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  • View organization page for Biohub

    53,434 followers

    We’re building a new model for science by bringing together frontier AI and frontier biology. Andrea Califano describes how interdisciplinary teams of scientists, engineers, and AI researchers at Biohub are developing ways to reprogram immune cells to recognize the earliest indicators of diseases such as cancer, Alzheimer’s, and Parkinson’s, which could enable detection and treatment with unprecedented precision. #biology #MachineLearning #AI #biohub #ComputationalBiology

  • Biohub reposted this

    If I had to describe the next chapter for Biohub in one word: Acceleration. I was thrilled to answer this question and chat about our work at Biohub at our Affiliate Symposium in New York. It was amazing to connect with so many brilliant partners across academia, industry, and venture and see firsthand how our science teams, AI experts, and collaborators are pushing the frontiers of biology together. I’m energized by the scale and acceleration of our work—we’re not just making discoveries, we’re fundamentally changing how science gets done. By combining frontier AI and frontier biology, we’re building tools and models that can move faster, share knowledge more openly, and ultimately bring clinical impact closer to patients.

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