How AI could make therapeutic decision-making for breast cancer more accurate, affordable

(Salesforce) Deep learning-enabled breast cancer technology could make breast cancer therapy decisions more accurate, affordable and accessible. For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular marker used for prognosis and treatment decisions. This is an expensive, time-consuming process. Here we show that machine learning can determine molecular marker status. Our approach could augment clinicians' capabilities in cancer prognosis and theragnosis by harnessing biological signals imperceptible to the human eye.
Source: EurekAlert! - Medicine and Health - Category: International Medicine & Public Health Source Type: news