DNA repair protein gene gone rogue may unlock new cancer treatments
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Oct-2026 18:16 ET (25-Oct-2026 22:16 GMT/UTC)
Scientists at the Icahn School of Medicine at Mount Sinai have created a new artificial intelligence (AI) model that helps reveal how genes function together inside human cells, offering a powerful new way to understand biology and disease. The study, published in the May 21 online issue of Patterns, a Cell Press Journal [DOI: https://doi.org/10.1016/j.patter.2026.101565], introduces a gene set foundation model (GSFM) designed to learn patterns in how genes are grouped and function across thousands of biological contexts. The work draws inspiration from advances in large language models (LLMs) such as ChatGPT, which learn how words gain meaning depending on their context. In a similar way, a GSFM learns how genes behave differently depending on their cellular “context.”