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The world's largest single-cell dataset.

These are the datasets we need. Arc Institute is doing incredible work!

Just another >300 million single cells, agentic #AI life science, large language of life models, perturbations, open-access, out today! 😉 Arc Institute Yusuf Roohani Stanford AI Lab Hani Goodarzi Vevo Therapeutics Parse Biosciences Johnny Yu Nima Alidoust Nick Youngblut Patrick Hsu Patrick Collison

Thanks Eric Topol! The Arc Virtual Cell Atlas opens up many exciting new opportunities for advancing virtual cells models. We can’t wait to share what we’re building next. Read the full technical report here: arcinstitute.org/manuscripts/sc…

Meet the judges & mentors for the Tahoe Deep Dive Hackathon & thanks Amazon Web Services for offering the prize: $25K AWS credits to winner, 10K & 5K to 2nd and 3rd. Deadline to apply: Apr 4th, details in 🧵. A short DM with clem 🤗; and now an entire community coming together!

Joining forces with Babak Alipanahi, Hormozdiari Lab, Aiden M Sababi & Mehran Karimzadeh to bring you Exai-1; a multi-modal cell-free RNA foundation model for blood surveillance and liquid biopsy. Kudos to the broader exai bio team for getting this across the line. biorxiv.org/content/10.110…

Looking forward to speaking today about our work applying AI agents to biological experiment design!

I'm excited to release what I've been cooking up the past few months at Arc Institute BINSEQ is a family of binary file formats for sequencing data built with paired records and parallel processing in mind with big performance gains (2x-40x) over gzip-fastq with similar storage

Today, we're announcing new partnerships with 10x Genomics and Ultima Genomics to accelerate development of the Arc Virtual Cell Atlas. (1/6)

It's been a pleasure having Alishba Imran on our team as a Research Fellow! Her passion and drive made a real impact! We're always eager to collaborate with curious, motivated students—especially those excited about AI for biological discovery. Don't hesitate to reach out!

Tool use offers tremendous potential for integrating LLMs into biological experiment design, perhaps even more than scaling model size. Excited to build on our earlier results with BioDiscoverAgent, now with a significantly expanded tool suite. Great collab. led by Kexin Huang!

Today is my first day as Writer-in-Residence at Arc Institute I'll be writing about the Virtual Cell, genome editing + much more. Grateful for the invitation to spend my summer here and learn more about AI+Bio!