A Northwestern University study found AI language models produced more detailed oncology pathology reports than physicians, marking a milestone in diagnostic technology. Separately, researchers ...

Sentinel lymph node biopsy (SLNB) is critical to breast cancer staging, yet current assessment methods remain heavily ...

PRET, developed at the Hong Kong University of Science and Technology, uses in-context learning to recognise 18 cancer types ...

The results of research by a University of Warwick-led team warn that popular deep learning systems trained for cancer pathology may be falling short on predictive accuracy because they are missing ...

Breast cancer is the most common cancer among women, with over 2.3 million new cases diagnosed each year. Traditional ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, ...

Artificial intelligence is rapidly transforming pathology by enabling faster, more accurate cancer diagnosis and personalized treatment planning. From integrating imaging and molecular data to ...

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial ...

According to the report published by Allied Market Research, The Global Digital Pathology Market Size was estimated at USD ...

A new study designs drugs that bind to intrinsically disordered proteins that are extremely difficult to target due to their flexible nature.

Researchers at the University of British Columbia and BC Cancer have developed a new way to target proteins long considered ...