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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
From Inflammation to Malignancy: The Link Between Endometriosis and Gynecological Cancers.

Endometriosis, a chronic estrogen-dependent disease, is associated with a risk of developing gynecological cancers. The mechanisms of this association remain unclear, but emerging evidence implicates key signaling pathways, including PI3K/AKT/mTOR …

Published: Dec. 7, 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
Mesothelin as a Diagnostic Biomarker in Endometriosis: A Cross-Sectional Study.

Endometriosis is a prevalent gynecological condition often requiring invasive procedures for diagnosis. This study aimed to assess mesothelin (MSLN) as a potential non-invasive biomarker by analyzing its levels in peritoneal …

Published: Nov. 28, 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
Gene regulation by non-Coding RNAs in infertility: a mechanistic review.

Infertility is a significant global health issue affecting millions of couples, with noncoding RNAs (ncRNAs) emerging as pivotal regulators in reproductive biology. This review explores the roles of various ncRNAs, …

Published: Nov. 17, 2025, midnight
''Non-Invasive Extracellular Vesicle Biomarkers in Endometriosis, Molecular Signatures Linking Pelvic Inflammation, Oocyte Quality, and IVF Outcomes''.

Endometriosis impairs fertility by interfering with ovarian function, embryonic development, and endometrial receptivity. Extracellular vesicles (EVs) are recognised as non-invasive biomarkers that may indicate biological processes based on their lipid, …

Published: Nov. 17, 2025, midnight
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