Machine learning-integrated molecular subtyping reveals two biologically distinct endometriosis subtypes in the EndometDB database.
BACKGROUND Endometriosis affects approximately 10% of reproductive-age women, with a diagnostic delay of 7-10 years. Despite clinical heterogeneity, current rASRM staging poorly predicts treatment outcomes. Molecular subtyping may reveal biologically meaningful patient strata that complement anatomical staging. OBJEC...