Researchers presented results at the American Association for Cancer Research Annual Meeting showing that an artificial intelligence-driven algorithm using a liquid biopsy assay can differentiate women with ovarian cancer from healthy patients. The study found sensitivity rates ranging from 69% to 100% for different stages of ovarian cancer. The algorithm also had high specificity for detecting ovarian cancer and distinguishing between benign and malignant masses. While the study had limitations like a small sample size, researchers plan to validate their results in larger cohorts. The findings suggest a promising avenue for early detection and broad screening of ovarian cancer.
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AI partners with liquid biopsy for ‘robust’ identification of women with ovarian cancer
