The model builds on a tool called CRISPR, a powerful gene-editing technology used to edit genomes and develop therapies for genetic diseases. But training on the tool to design an experiment is complicated and time-consuming—even for seasoned scientists. CRISPR-GPT speeds that process along, automating much of the experimental design and refinement. The goal, said Le Cong, Ph.D., assistant professor of pathology and genetics, who led the technology’s development, is to help scientists produce lifesaving drugs faster.

The paper is published in the journal Nature Biomedical Engineering.

“The hope is that CRISPR-GPT will help us develop new drugs in months, instead of years,” Cong said. “In addition to helping students, trainees and scientists work together, having an AI agent that speeds up experiments could also eventually help save lives.”