CRISPR-GPT Turns Novice Scientists into Gene Editing Experts

A large language model can design and troubleshoot CRISPR protocols from scratch, allowing first-time researchers to achieve up to 90 percent editing efficiency.

Originally written by Rebecca Roberts, PhD, for The Nutshell section of The Scientist, on Aug 5, 2025

CRISPR-GPT was trained on over a decade of expert discussions and evaluated against almost 300 test cases. Image credit:©iStock, Shinsei Motions

CRISPR technology has revolutionized biology, largely because of its simplicity compared to previous gene editing techniques. However, it still takes weeks to learn, design, perform, and analyze CRISPR experiments; first-time CRISPR users often end up with low editing efficiencies and even experts can make costly mistakes.

In a new study, researchers from Stanford University, Princeton University, and the University of California, Berkeley, teamed up with Google DeepMind to create CRISPR-GPT, an artificial intelligence (AI) tool that can guide researchers through every aspect of CRISPR editing from start to finish in as little as one day. The results, published in Nature Biomedical Engineering, demonstrate that researchers with no previous CRISPR experience could achieve up to 90 percent efficiency in their first shot at gene editing using the tool. 

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