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A Machine Learning-Based Prediction Model for Deep Infiltrating Endometriosis.

Deep infiltrating endometriosis (DIE) is a severe endometriosis phenotype. This study aimed to develop and internally validate a machine learning-based predictive model for DIE using retrospective clinical data from a …

Published: Oct. 1, 2026, midnight
Development and external validation of a metabolic and lipid-based model for predicting subsequent pregnancy in women with endometriosis.

Endometriosis is frequently associated with impaired fertility. Metabolic abnormalities and dyslipidemia may be relevant to reproductive dysfunction among women with endometriosis; however, their associations with subsequent reproductive outcomes and their …

Published: Sept. 1, 2026, midnight
Prevention of Heart Failure in Women: An Expert Consensus Statement on Sex-Specific Risk Factors.

Cardiovascular disease (CVD) remains the leading cause of mortality in women, yet sex-specific risk factors are usually not included in conventional predictive models. Specifically, heart failure (HF) in women may …

Published: July 3, 2026, midnight
A logistic regression model for predicting postoperative recurrence of cellular uterine leiomyoma.

The risk factors for the postoperative recurrence of cellular uterine leiomyoma (CUL) remain unclear.This study aimed to identify independent risk factors for recurrence and to develop a predictive model based …

Published: June 17, 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
Endometriosis-related alterations in the endometrium revealed by integrated single-cell and AI-powered approaches.

Endometriosis, affecting 1 in 9 women, presents treatment and diagnostic challenges. To address these issues, we generated a comprehensive single-cell atlas of endometrial tissue, comprising 466,371 cells from 35 endometriosis …

Published: May 20, 2026, midnight
Integrating Metabolic and MicroRNA Profiling to the Diagnostics of Endometriosis: A Pilot Study.

Endometriosis affects a large number of women of reproductive age, and its pathogenesis is still unclear. It causes severe chronic pelvic pain, which is often misdiagnosed as irritable bowel syndrome, …

Published: March 27, 2026, midnight
Identification of a circulating immunological signature as a liquid biopsy approach for the diagnosis of endometriosis.

Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth, causing pain and infertility. Diagnosis is often delayed due to reliance on imaging and invasive methods, highlighting the …

Published: Jan. 23, 2026, midnight
The Positive Association Between RCII and Endometriosis and Its Integration into a Clinical Predictive Model: A Cross-Sectional Study.

Studies indicate that endometriosis (EMs) is associated with inflammation and metabolic abnormalities. The Remnant Cholesterol Inflammatory Index (RCII) concurrently reflects both inflammatory and metabolic status. However, the relationship between RCII …

Published: Jan. 8, 2026, midnight
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