A simple blood test could accurately detect ovarian cancer in its early stages and has the potential to “significantly” improve care and outcomes for women with the disease, researchers suggest.
The test looks for two different types of blood markers in those showing symptoms of the disease, which includes pelvic pain and bloating, then uses machine learning to recognise patterns that would be difficult for humans to detect.
