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

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 ...

ClearNote Health's enhanced Avantect Pancreatic Cancer Test features industry-leading detection sensitivity and specificity ...

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

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.

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

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

Imagine a screening method that’s more accurate in early detection than a mammogram and less expensive than an MRI. That’s ...