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Scaling Large Language Models for Next-Generation Single-Cell Analysis biorxiv.org/content/10.110… #biorxiv_bioinfo

C2S-Scale: Scaling Large Language Models for Next-Generation Single-Cell Analysis biorxiv.org/content/10.110…

🚀 C2S‑Scale unleashes LLM power on single‑cell biology: a 27 B‑param, most versatile foundation model that lets you talk to a cell—query, simulate, explore via our open virtual‑cell platform. Built with Yale University & Google DeepMind. Thanks Google AI for sharing the story! 👇

This is a landmark paper I’ve been waiting for-toward creating “virtual cells,” which will revolutionize how we study & interact with biological systems in silico through AI rather than in the wet lab! This should’ve been major news! Congrats to Google AI team & David van Dijk

This is the most inspiring thing I’ve read in AI in the last two years: storage.googleapis.com/deepmind-media… What a beautiful future ahead, just happy to take part in it.

We will be presenting Intelligence at the Edge of Chaos at #ICLR2025. Come visit our poster! 🖼️ Poster: iclr.cc/virtual/2025/p… 📜 Paper: arxiv.org/abs/2410.02536

Why did only humans invent graphical systems like writing? 🧠✍️ In our new paper at CogSci Society, we explore how agents learn to communicate using a model of pictographic signification similar to human proto-writing. 🧵👇

🪰By infusing a virtual fruit fly with #AI, Janelia & Google DeepMind scientists created a computerized insect that can walk & fly just like the real thing➡️ hhmi.news/3Rwop0w 🤖Read more about this work, first published in a #preprint in 2024➡️ hhmi.news/4cGAVUW

You’ve heard of vibe coding—meet vibe protein design. Click, launch, and watch the binders roll in. That’s what we're unveiling with Ariax Bio today.

I support this! For the past 35 years, I’ve focused exclusively on human-based science, which has been a very challenging path since the conventional approach of biomedical research almost required using mouse models to secure high-profile publications & grants. Somehow, I

Great opportunity for building virtual cells!

HealthBench from OpenAI is a critical evaluation benchmark to push AI into real-world healthcare & pave the way for AI doctors. This in turn could have a tremendous impact on human health. We’re now at the beginning of revolution that will transform the future of medicine & save

🚨Preprint Alert!🚨 Cell classification is one of the most difficult tasks in analyzing spatial data. We present CellTune - a powerful toolkit for accelerating biological discovery in spatial proteomics. 📄 biorxiv.org/content/10.110… 👇🧵1/7

>700K people die each year due to S. aureus infection. Today we show that our AI designed new molecule, synthecin, stops drug-resistant S. aureus MRSA in mouse model💊 We created synthecin w/ SyntheMol-RL, our new RL generative AI. All open source biorxiv.org/content/10.110…

Excited to see our Cell2Sentence collaboration with Google AI Google DeepMind featured in Nature News! Check it out here: nature.com/articles/d4158… 🧬

Thank you Yale Engineering for highlighting our work!

An AI agent upgraded its own tools and doubled its bug-fix score. Darwin-style search plus Gödel-style self-reference cracked coding tasks. Pass rate jumps from 20 % to 50 % on SWE-bench-Verified Darwin Gödel Machine (DGM) is a coding agent that rewrites its own code, tests

Amazing! This is a landmark paper in BioAI! I’ve been waiting for a model like BioReason to bridge DNA foundation models with LLMs. Congrats to Bo Wang and the big team of collaborators! 🎯 What this truly means: This enables AI systems to provide mechanistic biological