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Machine learning-integrated molecular subtyping reveals two biologically distinct endometriosis subtypes in the EndometDB database.

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 …

Published: Aug. 26, 2026, midnight
Regarding "Is endometriosis staging related to the type and intensity of patients' complaints? A systematic review and meta-analysis".

Firstly, this meta-analysis[1] included a total of eight studies, seven of which used the rASRM classification, while only one applied the ENZIAN classification; the latter was not included in the …

Published: Jan. 9, 2026, midnight
Integrative microbiome-metabolomics identifies Pseudomonas as a potential pathogenic factor in endometriosis.

Endometriosis (EMS) is a chronic disease characterized by unclear etiology, influenced by various genetic and environmental factors, with no definitive biomarkers available for early screening. Recent studies suggest that the …

Published: Oct. 30, 2025, midnight
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