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

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

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

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.

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 ...

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.

The next breakthrough in cancer screening is emerging from the convergence of artificial intelligence and canine biology. That’s the thesis behind SpotitEarly, a startup that recently launched in the ...

The cancer diagnostics industry is evolving rapidly as advances in biotechnology, data analytics and precision medicine ...