An AI tool built to find faint cancer markers in routine tissue slides is headed for lab trials, as QIMR Berghofer tests a ...

Tissue-based diagnosis of diseases relies on the visual inspection of biopsied tissue specimens by pathologists using an optical microscope. Before putting the tissue sample under a microscope for ...

Case Western Reserve University biomedical researchers develop first open-source, quality-control review tool for fast-growing digital pathology field There’s a low-tech problem troubling the ...

The University of Delaware’s Comparative Pathology Laboratory focuses on diagnostic surveillance for common and emerging diseases in animal species, including commercial broiler chicken flocks on the ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could transform how cancer tissues are analyzed and help pave the way for more ...

Researchers have developed CANVAS, an AI platform that maps tumor cell neighborhoods from standard pathology slides. The tool ...

Brown amyloid beta plaques are visible in the slide on the left, which contains a tissue sample of an untreated brain with Alzheimer's Disease. There are no plaques in the tissue sample on the right, ...