Latest Articles

Publication Date
[Endometriosis pain research in Germany : ENDO-PAIN and StEPP-UPP-two new research consortia on endometriosis pain].

Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment pathways remain insufficiently defined. This article summarizes the situation in …

Published: July 20, 2026, midnight
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …

Published: July 11, 2026, midnight
Uterine microbiome signatures associated with endometriosis.

Endometriosis is a chronic inflammatory disorder affecting ~ 10% of reproductive-age women, often causing pelvic pain and infertility. Despite its prevalence, diagnosis remains delayed due to non-specific symptoms and lack …

Published: June 16, 2026, midnight
Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers.

Endometriosis is a chronic, debilitating condition affecting approximately 10-15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificial …

Published: June 12, 2026, midnight
Deciphering immune-inflammatory dysregulation in the endometriotic microenvironment: insights from single-cell omics and artificial intelligence.

Endometriosis is a prevalent chronic inflammatory gynecological disorder affecting approximately 10% of reproductive-age women worldwide, characterized by endometrial-like tissue outside the uterine cavity. Ectopic lesion growth tracks closely with immune-inflammatory …

Published: June 11, 2026, midnight
Interpretable machine learning for endometriosis classification: a rule-based approach.

Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pelvic pain, infertility, and other major health complications. Though some studies have …

Published: June 10, 2026, midnight
Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.

To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.

Published: June 7, 2026, midnight
An ensemble machine learning model based on magnetic resonance imaging features for diagnosing deep infiltrating endometriosis.

To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …

Published: May 29, 2026, midnight
MicroRNAs in endometriosis: bioinformatics resources, machine learning strategies, and multi-omics perspectives.

Endometriosis is a heterogeneous gynecological disorder characterized by chronic pain, infertility, and substantial impairment of quality of life. Increasing evidence indicates that microRNAs (miRNAs) are key regulators of endometriosis pathogenesis …

Published: May 25, 2026, midnight
Bioinformatics and machine learning-driven discovery of candidate tissue diagnostic markers for endometriosis with experimental verification.

Endometriosis is a complex gynecological disorder lacking reliable biomarkers. This study aimed to identify core diagnostic genes through integrated computational approaches. Multiple endometriosis transcriptomic datasets were analyzed.

Published: May 22, 2026, midnight
Link copied to clipboard!
Subscribe to Our Newsletter

Stay updated with our latest articles!