Latest Articles

AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection …

The predictive diagnostic value of combined serum detection of CXCL12, VEGF, and CA125 for endometriosis.

This study aims to explore the application value of stromal cell-derived factor (CXCL12), vascular endothelial growth factor (VEGF) and carbohydrate antigen 125 (CA125) in the diagnosis, staging, and clinical manifestations …

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions such as endometriosis, which has been historically understudied despite …

Improving efficiency in robotic-assisted surgery: a practical guide for surgeons.

The integration of robotic systems into minimally invasive surgery offers significant advantages, including enhanced precision, reduced invasiveness, and improved patient outcomes. However, sustaining these benefits requires optimization of operational efficiency …

Development of a novel meta-polygenic risk score for risk assessment and clinical manifestation prediction in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a clinically heterogeneous autoimmune disease with multifactorial pathogenesis. Although polygenic risk scores (PRSs) have been developed to enable early prediction, their accuracy remains limited. To …

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …

The Paradox of Endometriosis in Mayer-Rokitansky-Kuster-Hauser Syndrome: Applying Three Criteria to Discriminate Between Retrograde Menstruation/Implantation and Coelomic Metaplasia/Embryonic Cell Rests Theories.

Background/Objectives: The scientific community is still divided between supporters of the implantation theory and researchers who advocate the theory of coelomic metaplasia/embryonic cell remnants to explain the initiation of endometriosis. …

Risk factors and prediction models for pain after endometriosis-related surgery-what do we (not) know yet.

Differences in response to dienogest therapy among different phenotypes of endometriosis: A single-center retrospective cohort analysis.

This study aims to investigate the differences in response to dienogest (DNG) therapy among patients with 3 different phenotypes of endometriosis: ovarian endometrioma (OMA), superficial peritoneal endometriosis (SUP), and deep …

Development and validation of a clinical nomogram for predicting cumulative live birth rate in ovarian endometrioma patients undergoing ethanol sclerotherapy and in vitro fertilization/intracytoplasmic sperm injection.

Effective individualized tools to predict cumulative live birth rates are lacking for patients with ovarian endometriomas undergoing In Vitro Fertilization or Intracytoplasmic Sperm Injection after ultrasound-guided ethanol sclerotherapy. This study …