The method uses patients' pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.
A new pathology tool created at Yale harnesses barcode technology and shows potential for use in cancer diagnoses. The technology, Patho-DBiT (pathology-compatible deterministic barcoding in ...
melanoma, chest infections, and other health concerns. By feeding it data from conventional imaging procedures, health professionals can use the model to catch signs of illness that otherwise ...
Andrew H. Song, a postdoctoral research fellow at Harvard Medical School, presented his work on applying deep learning tools to cancer pathology at a talk titled “Taming Large-Scale Pathology Data for ...