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

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.

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 new study suggests that a machine designed to copy the human sense of smell could one day help doctors detect ovarian cancer much earlier than before. Researchers from Linköping University in Sweden ...

Pancreatic ductal adenocarcinoma is one of the most lethal cancers, in large part because it usually stays hidden until it has already spread. Survival curves change dramatically when tumors are ...

The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.

Khaberni - Early cancer detection technologies are undergoing a radical transformation with the emergence of multicancer blood tests (MCED), which rely on the analysis of free DNA ...

Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...

This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.