Add Yahoo as a preferred source to see more of our stories on Google. A Linköping University team uses a 32-sensor electronic nose and machine learning to spot ovarian cancer patterns in blood plasma.

Researchers have built an AI-powered electronic nose, or “e-nose,” that can identify ovarian cancer signatures in blood samples, potentially catching the disease years before patients develop symptoms ...

Thoracic surgeon Gaetano Rocco, MD, holding a component of the "E-Nose," a noninvasive lung cancer test that produced promising results in a clinical trial at Memorial Sloan Kettering. Detecting lung ...

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 ...