Srinagar, Aug. 15 -- MIT researchers have developed an AI-powered method to design nanoparticles that deliver RNA vaccines and therapies more effectively. By training a machine learning model on thousands of existing delivery particles, they were able to predict better-performing materials, tailor them for different cell types, and incorporate new components faster than ever before.

RNA vaccines, like those for COVID-19, rely on lipid nanoparticles (LNPs) to protect mRNA and help it enter cells. MIT's approach uses a custom AI model called COMET, inspired by the transformer architecture behind large language models. Unlike typical drug-discovery AI that optimizes single compounds, COMET learns how multiple interacting ingredients in LNPs...