In @Nature: CytoTape is a protein-based recording system that lets cells store long-term gene activity histories in situ. It enables multiplexed, single-cell measurements over days to weeks without continuous live imaging 👏Biohub grantees @ChangyangLinghu & @denisejcai
🔗 go.nature.com/4qI3A24
We’re partnering with @tahoe_ai and @arcinstitute on an initiative to generate the largest perturbation dataset for virtual cell models.
Announced today at #JPM2026, the 120M+ cell dataset will be released open source to accelerate development of biological foundation models.
bit.ly/49j5Zdh
Scientists are seeing biology in a whole new way. @OfficialBiohub’s WaveOrder reconstructs distorted microscope images using math + physics, revealing clearer views of cells, tissues & more.
Over the past decade, CZI has made big strides in science, technology + community that are shaping the future of human health, learning & connection. Here’s what 10 years of breakthroughs look like bit.ly/10yearslookback
Biology 🤝 AI In collaboration with @NVIDIAHealth, we are using #AI to model life at the cellular level, accelerating understanding of how diseases work + how to prevent or treat them czi.co/48SctA6#NVIDIAGTC
The immune system holds the clues to preventing and curing disease. Biohub Investigator John Tsang’s work—featured in @techreview—is helping reveal how. bit.ly/46MGShO
The #RareAsOne Cycle 2 Impact Report is here! 🎉
Patient communities are reshaping the rare disease landscape—engaging 6,000+ researchers, launching 13 registries, and driving 150+ research projects.
Explore their impact: czi.co/3Lh6Xgs
AI can’t reach its full potential in biology until our data speaks the same language. To solve this problem, we’re introducing AIxBio, a new infrastructure for #AI-native biology. czi.co/4n86I4s
Big news! We are teaming up with @NVIDIAHealth to accelerate virtual cell model development to unlock news insights about human biology czi.co/48SctA6#NVIDIAGTC
🚨New work led by #CZBiohubCHI Investigator Aly Khan & @23andMeResearch accepted to #NeurIPS2025. PRSformer: disease risk prediction from genetic variants at population scale! New scaling law (N>1M) + multitask + multi-ancestry gains for 18 immune traits.
biorxiv.org/content/10.1101/…
Science should be open + inclusive by design.
💡✨ This week reminded us: open science isn’t just about access, it’s about agency. When everyone can create, collaborate and contribute, discovery moves forward for all.
Scientists are working on AI-powered simulations that mimic how real cells behave. Why it matters:
🧬 Predict how diseases work
💊 Simulate treatments
🧠 Reduce trial & error in the lab
They could transform how we understand life + how we treat disease. bit.ly/4he81NX
Right now, most biological data can’t talk to each other. AIxBio will standardize + connect data so we can use the full potential of #AI
🔗 czi.co/4n86I4s
New systems-immunology methods are quantifying immune “health” across populations. By tracking patient data, @TsangLab and collaborators are revealing how the immune system adapts and signals disease. Read more in @techreview. bit.ly/46MGShO
Research from immunologist John Tsang (@TsangLab)—#CZBiohubNY Investigator + Steering Committee member—is helping reveal how the immune system keeps us healthy. Read more about the Human Immunome Project in @techreview. bit.ly/46MGShO
AI is booming. How can developers tell if their models actually address real biological questions? Our new benchmarking suite, with task contributions from @NVIDIAHealth & @AllenInstitute, establishes the standard to help developers evaluate their models
czi.co/46wd6xF
🔬 Immunotherapies have revolutionized cancer treatment but are out of reach for many. Sjoukje van der Stegen, a platform leader at #CZBiohubNY, is diving deep into the immune system to understand how to make more accessible immunotherapy treatments.
czbiohub.org/life-science/de…