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 ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

Elizabeth Armstrong Moore is based in Portland, Oregon, and has written for Wired, The Christian Science Monitor, and public radio. Her semi-obscure hobbies include climbing, billiards, board games ...

Microscopic fibers secretly shape how every organ in the body works, yet they’ve been notoriously hard to study—until now. A new imaging technique called ComSLI reveals hidden fiber orientations in ...

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

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 ...

Hospitalization Risk During Chemotherapy for Advanced Cancer: Development and Validation of Risk Stratification Models Using Real-World Data Digital pathology (DP), referring to the digitization of ...

Researchers have developed a method for mapping the orientation and organization of tissue fibers, furthering our ...

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, ...

Powered by Guardant Infinity smart liquid biopsy platform, advanced multiomic test evaluates genomic, epigenomic and RNA-based molecular data First tissue comprehensive genomic profiling test to offer ...