⚛️ A protein qubit?! Led by Peter Maurer, #CZBiohubCHI Investigator & @UChicagoPME prof: "Our findings not only enable new ways for quantum sensing inside living systems but also introduce a radically different approach to designing quantum materials.” https://t.co/2Wi2Q5UVbs

🗓️Join us for the NextGen Faculty Symposium Sept. 10! Led by #CZBiohubSF Investigators, the Symposium highlights the work of 18 exceptional early-career scientists in quantitative biological and biomedical sciences. Learn more and register ⤵️ https://t.co/P1ysCajMRk

🌟Poll results are in! Virologists have many ideas on how #AI can advance the field. That was just one of the many hot takeaways from the Frontiers in Comparative Systems Virology Symposium @ #CZBiohubSF. #ICYMI speaker videos are now online! Playlist ▶️ https://t.co/snBZGlKpek

🚨New in @biorxivpreprint: novel “TRACK” mouse model lets scientists follow T cells during infection, revealing how tissues shape immunity & pointing to strategies to reprogram immune responses! Led by @RohamParsa / #CZBiohubNY, read more ⤵️ https://t.co/dMqWYtqeDM

Cell Tracking Transformed with Scalable AI and Interactive Visualization New tools, Ultrack and inTRACKtive, improve large-scale 3D #celltracking for developmental biology and other research areas @loicaroyer @czbiohub #AI #developmentalbiology https://t.co/YvcRF2AHWK

@naturemethods @loicaroyer @jobragantini Also out today ‼️ #inTRACKtive is a versatile web-based tool that lets users easily explore massive microscopy datasets. Try it out at the Virtual Embryo Zoo 🐟🐁🪰! Led by @TeunHuijben of Royer Group. Learn more about both tools https://t.co/PU5AoHyxoN

👣 Accurate cell tracking remains one of the hardest problems in #bioimaging. Meet Ultrack, a fast, reliable platform that performs especially well on whole-embryo tracking, new in @NatureMethods. Led by @loicaroyer & @jobragantini. Learn more: https://t.co/PU5AoHyxoN

Just in! Our AI team developed rBio, an AI assistant trained on virtual cell models + real scientific data. It’s a step toward building AI-based virtual cells that can simulate biology, helping scientists explore disease at its cellular roots.

Dare we say it? The energy at the Frontiers in Comparative Systems Virology Symposium was downright infectious! The #CZBiohubSF event explored strategies for studying virus-host interactions at multiple scales with a stellar speaker line-up: https://t.co/28V8no0MgG

A big thanks to Carolina Arias, Amy Kistler and Noam Stern-Ginossar for organizing an amazing meeting on comparative systems Virology yesterday @czbiohub in San Francisco! https://t.co/IeSMiliRHn

“We’re doing things that nobody else has tackled. We have a unique role in the world of science to take on.” Matthias Haury highlights how our imaging work occupies a distinct, daring path in scientific innovation https://t.co/Pi0Y4ACDOc

👏 Well deserved recognition for @ShanaOKelley, president of the Chicago Biohub! #CZBiohubCHI

"Although there are some precedents to this, the new system is unlike anything before it," writes @labriataphd in @TDataScience. Check out this piece on the Virtual Lab! https://t.co/Hf3M8YoNSv

Double paper alert in @Nature! A team of 150+ scientists, led by @StephenQuake, Mark Krasnow/@Stanford & #CZBiohubSF Genomics, published on Tabula Microcebus, a cell atlas of gene expression data from 226K single cells from mouse lemur organs & tissues. https://t.co/Lx1VOmmhpw

Meet @CsabaForro1 of #CZBiohubCHI! As leader of the Biomimetronics Group 🧬🖥️🤖, Forró dreams up new devices that can monitor, stretch, grow, and even treat lab-grown tissue samples. Check out this Q&A to learn more about his work! https://t.co/s9MZu3M95u

👏 Congrats to Sandra Schmid, Chief Scientific Officer of #CZBiohubSF, who was awarded the 2025 E.B. Wilson Medal 🎖️ from @ASCBiology for “far-reaching contributions to cell biology over a lifetime in science.”

#ICYMI - GREmLN is the first graph-based, transformer model that makes AI think like a human cell. Exciting work from #CZBiohubNY with @ColumbiaMed!

The future of cell biology is scale. At #CZbiohubNY, we hosted Cell Biology at Scale to unite minds across disciplines + rethink how we explore life at the cellular level.

Can LLMs predict the results of CRISPR screens in silico, before the experiment is run? A team led by Aly Khan, AI/ML head at #CZBiohubCHI, has built a scalable LLM-based prediction framework. Read the 📃 just accepted to #BioNLP workshop at @ACLMeeting! https://t.co/ihg2e7IcVu

That’s the #CZBiohubSF Protein Science team, led by John Pak, who collaborated with @james_y_zou on a new platform dubbed the “Virtual Lab,” just out in @Nature!