AI Platform Predicts Breast Cancer Risk Through Cellular Response to Pressure
Researchers at City of Hope and the University of California, Berkeley have developed a novel AI platform that predicts breast cancer risk by analyzing how single cells respond to pressure. The mechano-node-pore sensing (mechano-NPS) platform assesses the mechanical properties of breast epithelial cells, providing a 'mechanical age' that correlates with cancer risk. The study found that cells with an older mechanical age indicate a higher risk of breast cancer. This approach could fill a critical gap in risk assessment, especially for women without known genetic predispositions. The platform uses simple, affordable electronics, making it scalable for widespread use. 
