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.

A mother of four thought she just had a bit of dry skin on her nose, months before receiving a shocking diagnosis. Amanda Anderson, 43, from Layton, Utah, first noticed she had a small spot on the ...

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 ...

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 ...

Last December, Sarah Eggenberger noticed a small red spot on the left side of her nose. “(It) almost presented itself like a broken capillary or an aging spot,” the 48-year-old TODAY contributor and ...