Happy to share our new Circulation article discussing agentic and generative AI for drug discovery 💊 www.ahajournals.org/doi/full/10.... Great job by Jake Silberg, Peter Eckmann, Joseph Boen! Also thanks to Bradley Maron for helpful guidance.

Bio databases/APIs weren't designed for AI agents 🧬 So we expanded #Paperclip to transform common molecular databases—UniProt, PDB, ChEMBL—into a unified agent-native virtual filesystem. Now you can do deep research across 10^6 molecules much more accurately and 10x faster! gxl.ai/blog/adding-...

6/2026 Issue ➡️ link.springer.com/journal/4432... plasmid-free protein engineering, #DMS analysis, microbial surface functionalization, glioma cell interactions, viral mimic evolution Cover: generative AI for antibiotic synthesis design by Jonathan Stokes and @jameszou.bsky.social labs

Thank you @molsystbiol.org for highlighting SyntheMol-RL on the June cover!

Molecular Systems Biology@molsystbiol.org · 2mo ago

6/2026 Issue ➡️ link.springer.com/journal/4432... plasmid-free protein engineering, #DMS analysis, microbial surface functionalization, glioma cell interactions, viral mimic evolution Cover: generative AI for antibiotic synthesis design by Jonathan Stokes and @jameszou.bsky.social labs

We added >220K FDA regulatory and >1M clinical trial docs to #paperclip. All natively indexed for agents and free. Now agents can easily reason over clinical studies w/o web search! E.g: find all trials that were approved despite missing endpoint gxl.ai/blog/adding-...

Paperclip Expands With 220K+ FDA Regulatory and 1M+ Clinical Trial Documents - James Zou @jameszou.bsky.social oncodaily.com/voices/james... #OncoDaily #Oncology #Cancer #Health #Medicine

James Zou: Paperclip Expands With 220K+ FDA Regulatory and 1M+ Clinical Trial Documents - OncoDaily

James Zou: Paperclip Expands With 220K+ FDA Regulatory and 1M+ Clinical Trial Documents / cancer, James Zou, OncoDaily, Oncology, Paperclip

oncodaily.com

In this review, Wu et al., including @jameszou.bsky.social, give an overview of recent advances in cellular models, microphysiological systems, computational approaches, & other #NAMs driving the human-centric shift in drug development & biomedical research. 🧪

#paperclip now includes full papers from all of arXiv, PubMed Central and 150 million abstracts! 🖇️ Give your LLM all that knowledge in one line—all natively indexed for agents. 100x faster than web search and free. Install: curl -fsSL paperclip.gxl.ai/install.sh | bash Blog: gxl.ai/blog/adding-...

Excited to share our new papers at #ICLR2026 on (multi-)agents, efficient reasoning, long context, better tokenizers and scientific applications 🚀 My awesome students and collaborators will be presenting them at the main conference this week; check it out! 👇

been using the paperclip.gxl.ai by @jameszou.bsky.social and im just blown away but how much better it makes cc as a research assistant. i feel like they solved something smoothly. an elegant example of 'you need to translate problems to something that a CLI solves'. researchers - try it

Did you know AI can predict disease from just one night’s sleep? According to @jameszou.bsky.social , AI models can analyse sleep data to predict over 100 different diseases. Explore the interview: t.co/qA1fUODuGC t.co/OhrbWuigDW

In CellVoyager from @jameszou.bsky.social and teams AI agents pore over published papers. Seems intriguing to naive me that it can "uncover missing insights by autonomously analyzing biological data at scale. " 1/n www.nature.com/articles/s41...

CellVoyager: AI CompBio agent generates new insights by autonomously analyzing biological data - Nature Methods

CellVoyager is an artificial intelligence agent capable of exploring new biological hypotheses by autonomously analyzing single-cell RNA sequencing datasets and accounting for background information a...

nature.com

The data from sleep is incredibly rich, a window into health and risk of many diseases, decoded by AI. Our new essay today @jameszou.bsky.social @thelancet.com thelancet.com/journals/lan...

Decoding the language of sleep with artificial intelligence

Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, respi...

thelancet.com

As speech models are being deployed in real-world taxi and emergency service settings, the failure to accurately transcribe named entities can cause delays and errors in critical settings.

We have posted a Research Assistant (LSRP1) position to work on aging and 'rejuvenation' using mouse models!! 🐭 careersearch.stanford.edu/jobs/life-sc... Apply and join our awesome lab!! (please share) 😎

What do LLMs think about on their own, when we let them think freely? We generated 250K “daydream” samples across models 🧠 GPT → coding Qwen → multiple-choice math exams Llama → literature DeepSeek → math, religion, psychology

#Squidiff is highlighted on the cover of Nature Methods! Read about our diffusion model for single cells www.nature.com/articles/s41... Great job Siyu He and all the wonderful collaborators!

🏆 Thank you @cp-patterns.bsky.social for selecting our work on LLM-assisted writing across society as a Best Paper of 2025! info.cell.com/collection-r...

Nice Stanford article discussing our SleepFM AI: predicting diseases while you sleep news.stanford.edu/stories/2026...

AI model predicts disease risk while you sleep

The first artificial intelligence model of its kind can predict more than 100 health conditions from one night’s sleep.

news.stanford.edu

The first sleep AI foundation model for predicting diseases was published today @naturemedicine.bsky.social by @jameszou.bsky.social and colleagues nature.com/articles/s41... With Notebook LM, I made this infographic that tells the rich story pretty well

Thanks to Nature Methods for highlighting AI agents for biology (and the Virtual Lab) as a 2025 Method to Watch! www.nature.com/articles/s41...

Artificial intelligence agents for biology - Nature Methods

Artificial intelligence agents may have a transformative effect on how biological research is performed.

nature.com

Exploring the use of AI authors and reviewers at Agents4Science - @jameszou.bsky.social go.nature.com/4j1O7a3

Exploring the use of AI authors and reviewers at Agents4Science - Nature Biotechnology

Nature Biotechnology - Exploring the use of AI authors and reviewers at Agents4Science

go.nature.com

📣📣📣 Our second keynote speaker works on developing cutting-edge AI for biomedical applications. We're pleased to have James Zou (@jameszou.bsky.social) talk about "AI agents to accelerate scientific discoveries." To know more about the talk, check out: 2025.jcdl.org/keynotes/

New paper out in @natmethods.nature.com from @elhamazizi.bsky.social, Kam Leong & @jameszou.bsky.social! The team developed Squidiff, a diffusion #AI model to predict cellular responses to environmental cues and accelerate #PrecisionMedicine. Learn more: bit.ly/3WRPNsx

Large language models (LLMs) may not reliably acknowledge a user’s incorrect beliefs, according to a paper in Nature Machine Intelligence. The findings highlight the need for careful use of LLM outputs in high-stakes decisions. go.nature.com/48VRpIQ 🧪

It’s here! #Agents4Science recording is now on YouTube! 🏆 3 Best Paper talks ⚡️ 11 Spotlights 🧠 Panel on the future of AI agent-driven science 📚 Lessons + surprises from this first-of-its kind conf Full analysis of submissions + reviews coming soon! youtube.com/watch?v=7pXq...

Next week @jameszou.bsky.social & colleagues will host a conference where all the papers are written by AI agents & reviewed by them too. What do you reckon? A good chance to put AIs through their paces? Or a way to divert AI slop from elsewhere? 🧪🤖 My story here: www.nature.com/articles/d41...

AI bots wrote and reviewed all papers at this conference

Event will assess how reviews by models compare with those written by humans.

nature.com

As of June 2025, 66% of Americans have never used ChatGPT. Our new position paper, Attention to Non-Adopters, explores why this matters: AI research is being shaped around adopters—leaving non-adopters’ needs, and key LLM research opportunities, behind. arxiv.org/abs/2510.15951

"We found a troubling emergent behavior in LLM. —When LLMs compete for social media likes, they start making things up. —When they compete for votes, they turn inflammatory/populist. —When optimized for audiences, LLMs inadvertently become misaligned." → Moloch's Bargain @jameszou.bsky.social #AI

#AI wrote nearly a quarter of corporate press releases in 2024 and the number is likely to keep rising. spkl.io/63324ATfBo Weixin Liang, @jameszou.bsky.social & colleagues @cp-patterns.bsky.social