Molecular pathology represents a subspecialty within pathology that is focused on interpretation of complex molecular and genomic tests. This discipline has only recently emerged, further reducing the ...

A machine learning model trained on duodenal biopsy images achieves human pathologist-level performance in accurately diagnosed celiac disease (CD), with sensitivity and specificity above 95%. In ...

Future research aims to incorporate additional resolutions, apply the system to multiclass tissue segmentation and test its adaptability across other cancer types. The architecture could also ...

Trastuzumab deruxtecan improves survival in HER2-low and HER2-ultralow breast cancer, necessitating accurate patient classification. AI significantly enhances pathologists' accuracy in HER2 ...

CHICAGO -- Artificial intelligence (AI) assistance appeared to enhance pathologists' accuracy in identifying HER2-low or -ultralow expression in breast cancer tissue, a global study showed, which ...

It has been shown to detect the disease even before the person begins experiencing symptoms, researchers say. "The tested blood test can detect Alzheimer’s disease with high accuracy even in real-life ...

In a recent study published in The Journal of the American Medical Association, a team of researchers in Sweden examined whether the ratio of phosphorylated tau 217 protein to non-phosphorylated tau ...

Collaboration brings advanced, pathologist-reviewed early cancer detection to more providers and patients nationwide DALLAS, May 14, 2026 /PRNewswire/ -- Cancer Check Labs, creator of CancerCheck, a ...