Stanford-led AutoScreen is an AI co-scientist that automates CRISPR target discovery, validated on 320+ wet-lab screens
arjunrajlab · x · 2026-09-26
A Stanford/Princeton collaboration (Le Cong, Mengdi Wang, Jure Leskovec, Russ Altman, Aviv Regev et al.) published AutoScreen on bioRxiv, a multi-agent "AI co-scientist" for target discovery in functional genomics.
- Automates the design and analysis of CRISPR screens, closing the loop from AI predictions to real experiments
- Benchmarked on 320+ wet-lab screens
- Ships an "AutoScreen AI hub" with AI-extracted insights from 500+ datasets across BioGrid CRISPR, EMBL expression atlas, and UK Biobank GWAS
- Experimentally validated 3 novel genes that help cancer cells evade immune attack, using fresh unpublished CRISPR screens in melanoma, leukemia, and colon cancer models
- Key members now build scientific AI systems at Phylo, Inc.
Related event: Stanford's AutoScreen Automates CRISPR Target Discovery(2 posts)→
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