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Development of an AI-based magnetic resonance imaging reading support program (AMP) for deep endometriosis diagnosis.

Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …

Published: Dec. 8, 2025, midnight
Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage.

Abnormal expression levels of microRNAs are associated with numerous diseases in the female reproductive tract. A small subset of human endogenous retroviruses (HERVs) genes have retained open reading frames (ORFs) …

Published: Dec. 6, 2025, midnight
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
AI-Driven Advances in Women's Health Diagnostics: Current Applications and Future Directions.

Background: Women's health has historically served as an incubator for major medical innovations yet often faces relative neglect in sustained funding and implementation. The rise of artificial intelligence (AI) and …

Published: Dec. 3, 2025, midnight
Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases.

Background: Adenomyosis is a benign uterine disorder defined by the invagination of ectopic endometrial-like tissue into the myometrium, causing heavy menstrual bleeding and pain. While its pathogenesis remains unclear, shared-symptomology …

Published: Dec. 2, 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
Network pharmacology prediction of UA in targeting endometriosis progression to endometrial cancer.

Endometriosis is a gynecological disorder predominantly affecting women of reproductive age and is considered a potential risk factor for the development of endometrial cancer. However, the molecular mechanisms underlying the …

Published: Nov. 26, 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
Serum miRNA-based diagnostic models for endometriosis: from discovery to validation.

Can a serum miRNA signature serve as a potential diagnostic biomarker for endometriosis (END)?

Published: Nov. 21, 2025, midnight
Bioinformatic analysis and validation of candidate genes in the eutopic endometrium reveal differential expressions in diffuse adenomyosis, endometrioma, and their co-existence.

Adenomyosis and endometriosis are hormone-dependent benign gynecological disorders with overlapping features suggesting that they may share a common origin despite being considered distinct entities. This study compares the expression of …

Published: Nov. 21, 2025, midnight
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