Mount Sinai AI Maps Gene Interactions in Human Cells

Scientists at Mount Sinai have developed a new AI model that maps how genes work together inside human cells. This artificial intelligence model, called a gene set foundation model or GSFM, offers a powerful new way to understand biology and disease. Here's the thing: Genes rarely act alone. They participate in many biological processes, forming different molecular groups depending on where and when they are active. A single gene can play different roles in different settings. This GSFM learns how genes behave differently depending on their cellular context, much like large language models learn word meanings from context. What's interesting is this model can help identify the function of poorly understood genes without immediate lab experiments. It can also highlight genes involved in disease processes and suggest potential new drug targets and biomarkers. The GSFM creates a reference framework to help scientists interpret complex data more effectively. The bottom line: This new "map" of how genes work together could eventually lead to better diagnostics and therapies.