Researchers at Linköping University in Sweden have developed an electronic nose using artificial intelligence to detect early signs of ovarian cancer in blood samples. The AI-based method is reported to be both fast and accurate, potentially enabling earlier diagnosis and treatment. Ovarian cancer is often detected late due to vague symptoms that can be mistaken for less serious conditions, worsening patient prognosis.
The technology could facilitate new screening protocols and diagnostic methods, according to the study.