# Biohub ## About Biohub # Our mission is to 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 combining frontier AI with frontier biology. ## AI models for scientists and researchers We’re building frontier artificial intelligence for biology, trained on our vast and unique biological datasets, to better predict how human cells behave and how they can change. Scientists will use these models to craft new theories, design powerful experiments, and make breakthrough discoveries about human health and disease. The results will feed back into the AI models, improving their predictive ability — ultimately making it possible to solve disease. ## Frontier research to expand scientific knowledge The last decade of genomics and molecular research has generated significant insights into complex biological processes, but limits in technology and the sparsity of data in biology have hindered the application of AI. Our high-throughput data generation engines and discovery platforms will break through these barriers to help us answer some of the most complex questions in human biology. ### **Dimensional imaging to measure, map, and model complex biological systems** We're building imaging tools that capture life across scales — from single proteins to whole organisms — revealing how cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. ### ****Decoding inflammation to advance human health**** Inflammation drives the most significant causes of death worldwide. We're building tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and developing proactive, early interventions that can be deployed when inflammation first flares in the body. ### **Programming the immune system for early detection of disease** We’re developing AI models and engineered cells that harness our own immune cells to detect and ultimately treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s, by delivering targeted treatment only when and where it is needed. ## Key Pages - [Tools](https://biohub.org/tools/) - [Research](https://biohub.org/research/) - [News](https://biohub.org/news/) - [Team](https://biohub.org/team/) - [Join Us](https://biohub.org/join-us/) - [Investigators](https://biohub.org/investigators/) - [Immune cell reprogramming](https://biohub.org/immune-cell-reprogramming/) - [DMCA Policy](https://biohub.org/dmca-policy/) - [Careers](https://biohub.org/careers/) - [Events](https://biohub.org/events/) ## Recent News & Updates - [Simple ‘Cocktail’ of Amino Acids Dramatically Boosts Power of Anti-Inflammatory mRNA Therapies and CRISPR Gene Editing](https://biohub.org/news/amino-acids-boost-mrna-therapies-crispr/) - Adding three common amino acids to lipid nanoparticle injections increased mRNA delivery up to 20-fold, pushed gene editing efficiency to nearly 90%, and suppressed inflammation in a model of acute liver disease. - [New tool reveals how T cell responses evolve across organs](https://biohub.org/blog/track-t-cell-responses/) - By tracking recently activated T cells over time and across tissues, researchers uncover immune dynamics that may inform future therapies for infection, cancer, and autoimmunity - [Scott Fraser: 5 ways imaging and AI are capturing biology across billion-fold scales](https://biohub.org/blog/scott-fraser-imaging-ai-biology-scales/) - Dynamic imaging technologies are allowing us to watch biology unfold in real time and with unprecedented detail, shares Biohub’s president of imaging. - [Andrea Califano: 6 strategies for using AI to reprogram the immune system](https://biohub.org/blog/andrea-califano-ai-reprogram-immune-system/) - The convergence of machine learning, synthetic biology, and immunology is changing what's possible for human health, says Biohub’s president of immune cell reprogramming. - [Shana Kelley: 5 new ways to measure inflammation](https://biohub.org/blog/shana-kelley-new-ways-measure-inflammation/) - With AI-integrated platforms to watch immune cells in action, we will be able to intervene in inflammation before it becomes disease, says Biohub’s president of bioengineering. - [Tahoe Therapeutics, Arc Institute, and Biohub partner to generate the largest perturbation dataset for virtual cell models](https://biohub.org/news/arc-tahoe-perturbation-dataset/) - 120M+ cells and 225,000 perturbation interactions will accelerate virtual cell model development in a first-of-its-kind partnership and will be released open source as part of a shared commitment to open science. - [Biohub launches first large-scale scientific initiative combining frontier AI with frontier biology to cure or prevent disease](https://biohub.org/news/ai-biology-cure-disease/) - Biohub to unite data, compute, experimental science, and AI to transform and accelerate scientific research. - [An update from our founders](https://biohub.org/blog/founders-update-ai-powered-biology/) - We're going all in on AI-powered biology for our next chapter. - [Launching the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease](https://biohub.org/blog/frontier-ai-biology-initiative/) - To power this initiative, we are uniting our scientific teams as a single organization: Biohub. - [Genomics research for all](https://biohub.org/blog/variantformer-ai-gene-expression/) - VariantFormer is the first deep learning model characterizing cross-tissue gene expression by bridging sequence-based modeling across genomes with population-based modeling across personalized genomes. ## Categories - [Imaging](https://biohub.org/blog/category/imaging/) - [Immune cell reprogramming](https://biohub.org/blog/category/immune-cell-reprogramming/) - [Technology](https://biohub.org/blog/category/technology/) - [Tissue instrumentation & inflammation](https://biohub.org/blog/category/tissue-instrumentation-inflammation/) ## News Categories - [News](https://biohub.org/blog/news_categories/news/) ## Network Sites - [Royer Group](https://biohub.org/royer/) - Organismal Architecture - [Computational Microscopy](https://biohub.org/comp-micro/) - [Genomics](https://biohub.org/genomics/) - [Rapid Response](https://biohub.org/rapid-response/) - [Leonetti Group](https://biohub.org/leonetti/) - Intracellular Architecture - [Mass Spectrometry](https://biohub.org/mass-spec/) - [Balla Group](https://biohub.org/balla/) - Organismal Infection Biology - [Bioengineering](https://biohub.org/bioengineering/) - [Arias Group](https://biohub.org/arias/) - Virus-Host Interactions - [Jacobo Group](https://biohub.org/jacobo/) - Quantitative Tissue Morphogenesis - [Computational Biology](https://biohub.org/comp-biology/) - [Protein Science](https://biohub.org/pak/) - [Software Engineering](https://biohub.org/software-engineering/) - [Mass Spec Omics](https://biohub.org/mass-spec-omics/) - [Spatiotemporal Omics](https://biohub.org/spatiotemporal-omics/) - Daniel Wang - [Microtissue Signaling Dynamics](https://biohub.org/microtissue-signaling-dynamics/) - [eBooks](https://biohub.org/ebook/) - [Scientific Compute](https://biohub.org/scientific-compute/) - [Tissue Models](https://biohub.org/tissue-models/) - [Functional Immunogenomics](https://biohub.org/functional-immunogenomics/) - [Cardiac Biointerface Engineering](https://biohub.org/cardiac-biointerface-engineering/) - [Biomimetronics](https://biohub.org/biomimetronics/) - Csaba Forro - [Immune Cell Dynamics and Function](https://biohub.org/immune-cell-dynamics/) - Roham Parsa - [Immune Cell Engineering and Development](https://biohub.org/immune-cell-engineering/) - Sjoukje van der Stegen