Thursday, November 7, 2019

Top Pathology Lab Fuses Data Sources to Develop Cancer-Detecting AI

Pathologists agreed just three-quarters of the time when diagnosing breast cancer from biopsy specimens, according to a recent study. The difficult, time-consuming process of analyzing tissue slides is why pathology is one of the most expensive departments in any hospital. Faisal Mahmood, assistant professor of pathology at Harvard Medical School and the Brigham and Women’s Hospital, leads a team developing deep learning tools that combine a variety of sources — digital whole slide histopathology data, molecular information, and genomics — to aid pathologists and improve the accuracy of cancer diagnosis.