Introducing Biohub: AI and Biology Convergence

Exciting news! Columbia is proud to be part of the CZI BioHub network, combining AI and biology to develop technologies that detect disease at its earliest stages and develop more effective therapies. Learn more: https://lnkd.in/ekgcT-qU

Today we launched Biohub, the first large-scale scientific initiative combining frontier AI with frontier biology to cure or prevent disease!

⚡ When AI Meets Biology - The Next Frontier of Medicine The Chan Zuckerberg Initiative (CZI) is making a decisive move: It’s shifting the majority of its philanthropy toward one mission: Advancing the frontiers of AI and biology to cure, prevent, or manage all diseases. Through its expanding Biohub network, CZI is building research centers where engineers, biologists, and data scientists work side by side, creating cell atlases, modeling the immune system, and developing AI-driven biological tools. This is more than a new direction for philanthropy! It’s a signal that the future of medicine will be driven by computational biology, automation, and open science. That the line between tech company and biotech institute is disappearing. And that curing diseases is now a problem of data, scale, and engineering, not just discovery. At Rafa’s Moonshot, we share that same vision. We’re building models, data, and collaborations to accelerate therapies for STXBP1 and other neurodevelopmental disorders. When the frontiers of AI and biology come together, the impossible starts to look solvable. You can read more about Biohub in the link below. #Biohub #CZI #AI #Biology #Biotech #RareDisease #RafasMoonshot #OpenScience #NextFrontier

Incredible to see the frontiers of AI and biology converging with real urgency and purpose. This is where the next decade of breakthroughs will come from, not just in code, but in cells, neurons, and real human health.

Biohub's ambition for the next years and decades is to create virtual cell systems that would not have been possible without recent advances in AI. Similar to how large language models learn from vast databases of digital books, online writings and other media, its researchers and scientists are working toward building virtual systems that serve as digital representations of human physiology on all levels, such as molecular, cellular or genome. As it is open source — free and publicly available — scientists can then conduct virtual experiments on a scale not possible in physical laboratories.

🤖 𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝 𝐚𝐭 𝐋𝐨𝐧𝐠𝐞𝐯𝐢𝐭𝐲 𝐀𝐠𝐞𝐧𝐭𝐬 × 𝐁𝐞𝐫𝐥𝐢𝐧? Three challenge tracks. One goal: Build AI agents that close gaps in longevity. 𝐀𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Rank novel hypotheses to save time and resources. Design new experimental protocols from adjacent fields, Synthesise longitudinal data. 𝐀𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨 – Discover robust ageing biomarkers. Repurpose approved drugs for new indications. Predict which model organism to test in first. 𝐀𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡 – Personalise longevity to individual biology. Match people to clinical trials. Design N-of-1 experiments. Optimise intervention timing from continuous biomarkers. Data is often cited as the main bottleneck in longevity research. But new data is not the only problem, making sense of what’s already out there is perhaps a bigger gap. We have plenty of public datasets, but little structure or utility. What’s missing is action by turning knowledge into interventions that work. And unless we organise what is existing, we would never now where is new data is even needed. Join us at the 𝐋𝐨𝐧𝐠𝐞𝐯𝐢𝐭𝐲 𝐀𝐠𝐞𝐧𝐭𝐬 × 𝐁𝐞𝐫𝐥𝐢𝐧 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 to build the future of health and longevity. 36 hours. 120 builders. From idea to MVP. 🗓️ Friday 14 – Sunday 16 November 2025 📍 The Delta Campus, Berlin 🎟️ Limited spots available: https://lnkd.in/eagzsKZP 👉 Learn more: https://lnkd.in/eRqiiyfK This was only possible with the support of partners pushing the future of science & AI: NetMind.AI, Bio.xyz, Molecule AG, Zerve AI, Youth Health Tech, Cellcolab, Featherless AI, Aniva Health, The Delta Campus, Heal Capital, Nucleate Germany, {Tech: Europe} and Life Sciences Tech Network - Berlin #Berlin #Longevity #HealthTech #AI #Hackathon #Biotech

Gunderson represented EvolutionaryScale, a frontier research lab advancing AI for biological research, in a strategic transaction with the Chan Zuckerberg Initiative. Through this collaboration, the EvolutionaryScale team will join CZ Biohub, a nonprofit medical research organization founded by Mark Zuckerberg and Priscilla Chan. EvolutionaryScale’s Co-founder and Chief Scientist Alex Rives, a pioneer in applying AI language models to biology, will lead scientific strategy across experimental biology, data, and artificial intelligence. Together, this team of scientists, engineers, and AI researchers will develop next-generation models and laboratory technologies to drive breakthroughs in biological discovery and disease research. The deal team included Melissa Marks, Caroline Ceriello, Lawrence Ho, Jaime Lacson, Aaron Rubin, Erica B. Davis and others. Read more and see the full deal team here. https://lnkd.in/gkDFN6CT #AI #biotech #GundersonDettmer

Towards AI-Driven Longevity Research The convergence of Artificial Intelligence (AI) and longevity science is reshaping how we understand and extend human healthspan. From predicting biological age and identifying senescence biomarkers to accelerating drug discovery and personalized anti-aging interventions — AI is emerging as a catalyst for the next era of healthy aging. At the Global Longevity Federation (GLF 2026), we explore how data-driven models and AI technologies can unlock new frontiers in aging research — bringing precision, scalability, and deeper biological insight into every discovery. Key AI applications in longevity include: AI-based biomarker discovery and biological age modeling Predictive analytics for age-related disease risk Deep learning for cellular and molecular aging mechanisms AI-accelerated drug repurposing and longevity therapeutics Join global scientists, innovators, and industry leaders as we move towards AI-driven longevity research — bridging technology, biology, and human potential. 📅 March 23–24, 2026 | Rome, Italy 🌐 https://lnkd.in/g8x3E_2c #Longevity #ArtificialIntelligence #AgingResearch #HealthyAging #AIinScience #LongevityFederation #GLF2026

The Chan Zuckerberg Initiative is uniting its multidisciplinary scientific teams into a single organisation, Biohub, to lead a large-scale initiative combining frontier artificial intelligence with frontier biology. The organisation aims to accelerate CZI’s foundational mission to “support the science and technology to make it possible to cure, prevent or manage all diseases by the end of this century”. Co-founder Mark Zuckerberg said advances in AI mean the goal may be achieved much sooner than anticipated. To power the initiative, the team from EvolutionaryScale, a frontier AI research lab, will join Biohub. Alex Rives, the co-founder and chief scientist of EvolutionaryScale, will serve as Biohub’s head of science. Biohub also plans to expand its compute capacity tenfold, growing to 10,000 GPUs by 2028. “Advances in artificial intelligence are already starting to give us new tools to understand and engineer biology,” said Rives. “As we bring together frontier artificial intelligence with frontier biology, it will become possible to build predictive models of biology that could greatly accelerate the rate at which fundamental new scientific discoveries can be made.” Read more: https://lnkd.in/ejJYXV3R

The Chan Zuckerberg Initiative is uniting its multidisciplinary scientific teams into a single organisation, Biohub, to lead a large-scale initiative combining frontier artificial intelligence with frontier biology. The organisation aims to accelerate CZI’s foundational mission to “support the science and technology to make it possible to cure, prevent or manage all diseases by the end of this century”. Co-founder Mark Zuckerberg said advances in AI mean the goal may be achieved much sooner than anticipated. To power the initiative, the team from EvolutionaryScale, a frontier AI research lab, will join Biohub. Alex Rives, the co-founder and chief scientist of EvolutionaryScale, will serve as Biohub’s head of science. Biohub also plans to expand its compute capacity tenfold, growing to 10,000 GPUs by 2028. “Advances in artificial intelligence are already starting to give us new tools to understand and engineer biology,” said Rives. “As we bring together frontier artificial intelligence with frontier biology, it will become possible to build predictive models of biology that could greatly accelerate the rate at which fundamental new scientific discoveries can be made.” Read more: https://lnkd.in/eDaY4tVx