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 ...

A deep-learning computer network developed through research led by Case Western Reserve University was 100 percent accurate in determining whether invasive forms of breast cancer were present in whole ...

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 ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Researchers at UT Southwestern Medical Center have developed a novel artificial intelligence (AI) model that analyzes the spatial arrangement of cells in tissue samples. This innovative approach, ...

The squares are representative partial pictures from the cancer microscopy slides, that the AI system has automatically organized by their similarity. A new AI-based tool for identifying colorectal ...

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, ...