AI Tool SIDISH Identifies High-Risk Cells in Aggressive Cancers
Researchers have developed an AI tool named SIDISH, which stands for semi-supervised iterative deep learning for identifying single-cell high-risk populations. This tool is designed to pinpoint small groups of cells within tumors that are most responsible for driving aggressive cancers. By identifying these high-risk cells, SIDISH offers a new approach to designing targeted cancer therapies. The tool was tested on pancreatic, breast, and lung cancers, successfully identifying cells linked to poor patient outcomes. SIDISH also simulates how these cells respond to genetic changes, aiding in the identification of potential drug targets. 
