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 ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be ...

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

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

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.

Researchers have developed an electronic nose that can “smell” early signs of ovarian cancer in the blood. The method is precise and could eventually be used to find many different cancers.

Scientists have developed a new artificial intelligence–powered blood test that may be able to detect early signs of serious ...

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