Artificial Intelligence Analysis of DNA Fragmentomes and Protein Biomarkers Noninvasively Detects Ovarian Cancer

A blood-based machine learning assay that combines cell-free DNA (cfDNA) fragment patterns and levels of the proteins CA125 and HE4 could differentiate patients with ovarian cancer from healthy controls or patients with benign ovarian masses, according to a retrospective study presented at the American Association for Cancer Research (AACR) Annual Meeting 2024, held April 5-10 in San Diego.

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