🧬 BREAKING: Our CRISPR-GPT paper is out TODAY in Nature Biomedical Engineering
@natBME !
🤯 We built an AI agent that turns ANYONE into a gene-editing expert in 1 DAY instead of months. An undergrad with ZERO experience achieved 90%+ editing efficiency on their FIRST attempt.
🧵 Here's how we're building expert AI agents for cutting-edge biotechnology:
🎯 The Problem: CRISPR is revolutionary but requires PhD-level expertise, it can take weeks to learn, adopt, and design, analyze a CRISPR experiment for R&D or making life-saving medicine. Even Pro scientists can make small mistakes (e.g. typos in guideRNA or cloning design) that cost months to find out, slowing us down.
💡 Our Solution: CRISPR-GPT - an AI co-pilot from
@Stanford @Princeton @GoogleDeepMind that guides you through EVERY step via simple conversation
🔬 Real Results:
-Novice researcher: ~90% editing on 1st go
-Training time: Months → 1 day
-100% success rate in our trials
-Even experts save days/weeks on data analysis & troubleshooting
🤖 How it works: Our multi-agent system handles: CRISPR system and delivery method selection, guideRNA design, Protocol generation, Real-time troubleshooting, Data analysis, and beyond. All through natural language! No coding, no complex software.
📊 We benchmarked it extensively:
-288 evaluation scenarios/cases
-Outperformed GPT-4o on ALL gene editing tasks
-Trained on 11 years of expert discussions
-Covers knockout, base-editing, prime-editing & epigenetic editing
🌍 Why this matters:
-Every lab can now use CRISPR with an AI system distilling expert knowledge and skills.
-Every student can learn faster.
-Every researcher can tackle bigger challenges without worrying about small mistakes.
-Customized CRISPR design can be automated based on your need and the context of R&D workflow.
-Agentic AI ensure safety, privacy, and responsibility
-We're not just automating gene editing - we're using AI to power scientists to cure diseases.
🚀 Try it yourself! Beta access available at:
genomics.stanford.edu
Paper:
nature.com/articles/s41551-0…
Code:
github.com/cong-lab/crispr-g…
Benchmark (companion work, Genome-bench):
github.com/mingyin0312/RL4Ge…
Co-first and key authors:
@YuanhaoQ @KaixuanHuang1 @MingYin_0312
PIs:
@lecong @MengdiWang10
Key collaborators:
@Rbaltman @denny_zhou
The future of biology and science is conversational. The future is now.
@natBME @NaturePortfolio
#CRISPR #AI #GeneEditing #Biotech #Science #AISafety