Abstract B039: Application of unsupervised clustering to whole slide images of high-grade serous ovarian cancer predicts prognosis

Abstract Introduction: High-grade serous ovarian cancer (HGSOC) has a median survival 5 years. Yet 10% of patients live 10 years despite similarly aggressive initial presentation and receipt of the same cytoreductive and platinum-containing 1st line treatment. Understanding the extremes of survival may reveal insight into HGSOC biology, however there are no reliable means of predicting prognosis. Application of artificial intelligence (AI) to hematoxylin and eosin-stained whole slide images (H 2 years, long-term survival (LTS) as 7 years, and medium-term survival (MTS) as between 2-7 years. From a cohort of 150 patients (272 H 2025 Sep 19-21; Denver, CO. Philadelphia (PA): AACR; Cancer Res 2025;85 (18Suppl): Abstract nr A039.