Stony Brook University researchers Chao Chen and Prateek Prasanna have been awarded a four-year, $1.2 million grant from the National Cancer Institute to develop TopoQuant, an advanced imaging tool for breast cancer diagnosis and treatment. This tool aims to detect subtle changes in breast tissue architecture using a combination of two- and three-dimensional imaging techniques, including tomosynthesis, MRI, and conventional mammography. By integrating mathematical modeling and machine learning, TopoQuant seeks to enhance the early detection of cancer and assess treatment responses. Clinical collaborators from radiology, radiation oncology, surgery, and pathology will assist in evaluating the tool's effectiveness. Beyond breast cancer, the deep learning framework developed could have broader applications in analyzing medical images for various conditions.