Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to ...

The AI in pathology market is witnessing strong growth, driven by the increasing adoption of digital pathology, rising cancer incidence, and the growing demand for faster and more accurate diagnostic ...

Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited ...

The resource offers a broad spectrum of topics, including foundational concepts in molecular pathology, detailed overviews of molecular assays, core principles of pathology informatics, and ...

A team of Dana-Farber researchers has identified a potential new way to assess clinically valuable features of clear cell renal cell carcinoma (ccRCC), a form of kidney cancer, using image processing ...

Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians. Investigators from the Mahmood Lab at Brigham and Women's Hospital, a ...