Mount Sinai's AI Model Maps Gene Interactions Across Cellular Contexts
Scientists at the Icahn School of Medicine at Mount Sinai have developed a new artificial intelligence (AI) model that provides insights into how genes function together within human cells. This model, known as the gene set foundation model (GSFM), is designed to learn patterns in gene groupings and functions across various biological contexts. The GSFM draws inspiration from large language models, learning how genes behave differently depending on their cellular context. This model offers a new way to understand the structural and functional organization of genes, potentially aiding in the development of diagnostics, biomarkers, and therapies. The AI model was trained using millions of gene sets from published studies and gene expression datasets, allowing it to predict gene-gene and gene-function relationships before experimental confirmation. 
