In a series of 3 papers and preprints, we’re thrilled to share with you the working laser phase plate. In collaboration with research led by Holger Müller at UC Berkeley, this is a huge innovation in imaging to make small and faint objects inside cells visible. bit.ly/4vIPC1U

A genome-scale CRISPRi perturbation atlas of human induced pluripotent stem cells nature.com/articles/s41587-0…

📅 The deadline for this funding opportunity is fast approaching: applications are due July 16! bit.ly/4uip6eJ

1/ How does one cell become an entire animal? We can now film it in 3D, but turning those movies into accurate cell tracks is brutally hard. Enter our new #Kaggle challenge: $60K prize pool, to help crack 3D time cell tracking at scale! kaggle.com/competitions/bioh… @biohub

🔊 Calling ML experts scientists! We are launching a @Kaggle challenge to advance AI-powered cell tracking in 3D—a cornerstone capability for decoding dynamic biological processes. Check it out ➡️ bit.ly/4bfdzWE

Scientists use 3D microscopy to study cells, but turning these complex images into insights is a massive bottleneck. 🔬 The Biohub - Cell Tracking During Development competition, hosted by @biohub, is live! Build machine learning models to identify cell divisions, track changes over time, and reconstruct lineages in real 3D data.

What happens when physicists turn their tools on living systems? That's the question at the heart of the Physics of Life Symposium—and this year marks its fifth edition. Submit an abstract or register to attend by Aug. 14: bit.ly/4xJIPH7

Chan Zuckerberg Initiative's Biohub to open new rare disease funding round cnbc.com/2026/06/25/chan-zuc…

Priscilla Chan joined me in Aspen today to talk about the work BioHub is doing to fight disease. Big potential here. cnbc.com/2026/06/25/chan-zuc…

The convergence of frontier AI and frontier biology is redefining how scientists pursue the path from observation to treatment. AI-driven approaches are enabling researchers to interpret genetic variation, model disease mechanisms, and identify therapeutic opportunities with a speed and scale that would have seemed unimaginable only a few years ago. For rare diseases, many of which stem from a single genetic change with clear biological effects, the opportunity is especially profound. In 2019, we launched Rare As One to catalyze a new path for people living with rare diseases. The network has grown to nearly 100 patient-led organizations that have engaged 320,000 patients and 26,000 researchers to accelerate progress toward treatments and cures. Today, we’re excited to announce we’ll fund a fourth cycle of our Rare As One Network. Invitations will open this fall. bit.ly/3QqlVUt

A new frontier for biology. The laser phase plate uses the brightest laser of its kind in the world, making the smallest details in human cells visible. The clearer we can see inside cells, the closer we get to curing disease.

1.1 billion predicted protein structures. That's the largest application of AI to protein biology to date. And it's fully open. But ESM Atlas is not a structure repository. It is an agent you can ask: what is this protein, what does it look like, what might it do? Explore ESM Atlas: bit.ly/4dJcF6G

Antibody therapies now make up ~25% of all new FDA approvals. ESMFold2 is especially strong at modeling antibody-antigen interactions. Hit rates of 15–29% for scFvs across five targets. No target-specific tuning. Download and build: bit.ly/4vmGX52

Exciting work from the @brangwynnelab at @Princeton published in @CellPressNews: using AI to study how drugs shape biomolecular condensates, opening a new path for drug development.

The 2nd Chicago BioEngineering Conference (CBEC) is back — Sept. 17–18 in downtown Chicago! 🧬 Omics. Bioelectronics. AI × bio. A stellar speaker lineup. Two days of science that matters. Space is limited → register now: bit.ly/4vqlXLj

Tool development will empower scientists to move faster. @nopriorspod

Most of the proteins that make up life on Earth have never been studied. Not because scientists aren't curious—because the tools to explore them didn't exist. ESM Atlas is a new way in. Ask it a question in plain language and it reasons across 6.8 billion proteins to answer. Not a database you search. An agent you can explore with: bit.ly/4dJcF6G

A world model of protein biology — what does that actually mean? @alexrives explains on @NoPriorsPod ⤵️

More than 15 years ago, a physicist had an outrageous idea. It was dismissed as impossible. Now here we are, with a device that is pure engineering madness. And it could quite literally change how we view biology. 🧵 (1/7)