A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...

Protein Biomarkers May Play an Important Role in Overcoming Limitations of Circulating Tumor DNA for Screening Early-Stage ...

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Pancreatic cancer is one of the most dangerous forms of cancer in the world. Many patients do not know they have the disease ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease. In a new study from Linköping ...

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...