Science Spotlight: AI/ML to optimize genome editing

A trio of papers demonstrated how to use AI/ML to automate or optimize various aspects of genome editing.

Collaborators at Stanford University, Princeton University and the University of California Berkeley revealed “CRISPR-GPT,” a large language model for automated planning and analysis of gene editing experiments. CRISPR-GPT, published in Nature Biomedical Engineering, helps users select an optimal CRISPR system, plan experiments, design guide RNAs, choose a delivery method and analyze data. ...