Better Way To Identify Telltale Markers For Breast Cancer tumors
Scientists have developed a better way to identify markers for breast cancer tumors, a breakthrough that could lead to better treatment for millions of women. They used machine learning to rapidly sort images of tumors to identify estrogen receptors, a key to determining prognosis and treatment. The technique offers a new pathway for breast cancer treatment that promises faster results for less cost for more people worldwide.
A research team led by USC scientists has developed a new way to identify molecular markers of breast cancer tumors, a potentially life-saving breakthrough that could lead to better treatment for millions of women. The study was published in the Nature Partner Journals Breast Cancer.