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Personalized Estimation of Fatigue in Endometriosis Using Wrist-Worn Actigraphy Data and Hierarchical Bayesian Modeling.

Endometriosis is a common chronic condition associated with debilitating pain and fatigue. Wearable technology has the potential to improve symptom monitoring in endometriosis where symptom severity has been traditionally evaluated …

Published: Dec. 5, 2025, midnight
Sun's Bushen Huayu Formula Restores Fertility in Endometriosis by Modulating Th1 and Th2 Cytokine Balance in Clinical and Animal Models.

Endometriosis (EMs) is a common gynecological disorder frequently associated with infertility, yet the underlying immune mechanisms remain poorly understood. Sun's Bushen Huayu Formula (BSHYF) has been clinically applied to improve …

Published: Dec. 5, 2025, midnight
Diagnostic performance of the #Enzian classification via ultrasound compared to laparoscopic findings in endometriosis: a retrospective cohort study.

To assess the diagnostic performance of the ultrasound-based #Enzian classification in comparison with laparoscopic surgical findings in patients with endometriosis.

Published: Dec. 4, 2025, midnight
Deep endometriosis: evaluation of ENZIAN and #ENZIAN classification systems by MRI compared with surgery-a meta-analysis.

To assess the reproducibility and the diagnostic accuracy of MRI for the assessment of (#)ENZIAN classification in patients with deep endometriosis by means of a meta-analysis.

Published: Nov. 29, 2025, midnight
Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset …

Published: Nov. 27, 2025, midnight
Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study.

Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …

Published: Nov. 26, 2025, midnight
Diagnostic accuracy of non-coding RNA for detecting endometriosis: A systematic review and meta-analysis.

Endometriosis diagnosis currently relies on invasive laparoscopy, creating a need for non-invasive alternatives. This study evaluates microRNAs (miRNAs) as potential diagnostic biomarkers for endometriosis through systematic evidence synthesis and performance …

Published: Nov. 24, 2025, midnight
Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …

Published: Nov. 23, 2025, midnight
Trans epistemologies of adeno and endo pain: a history of perspective in gynaecology.

This is a creative-critical essay about the shape of menstrual pain set against 'the politics of the uterus' (Paul B Preciado), drawing from personal experiences of adenomyosis. The premise thinks …

Published: Nov. 19, 2025, midnight
Machine-learning-derived prediction models of recurrence of ovarian endometriosis after laparoscopic surgery.

Endometriosis is a long-term health problem that affects a significant number of women globally. Among the various forms of endometriosis, ovarian endometriosis (OEM) is the most prevalent. This research aimed …

Published: Nov. 10, 2025, midnight
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