Integrating epigenetic and metabolic indicators for non-invasive endometrial cancer triage: a machine learning approach.
OBJECTIVE Abnormal uterine bleeding (AUB) is a primary symptom indicative of endometrial cancer (EC), yet its diagnosis still primarily relies on invasive biopsy. This study aimed to develop and validate a non-invasive, interpretable machine learning (ML) model integrating local epigenetic (exfoliated cell CDO1 methyla...