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The main active monomer of Dan'e-fukang soft extract, liquiritin, inhibits the inflammation and invasion of ectopic endometrial stromal cells through down-regulation of CCL2.

The study explored the mechanism of Dan'e-fukang soft extract in treating endometriosis (EMs) through network pharmacology. The main active ingredients of Dan'e-fukang soft extract were analyzed based on the traditional …

Published: May 7, 2026, midnight
Associations between aggregate index of systemic inflammation and endometriosis risk utilizing logistic regression analysis.

Systemic inflammatory response plays a key role in the pathogenesis of endometriosis. This study aimed to investigate the association between the aggregate index of systemic inflammation (AISI), defined as neutrophil …

Published: May 4, 2026, midnight
Analysis of risk factors compromising embryo quality and quantity in patients with endometriosis.

This study aims to analyze the clinical factors affecting embryo quality and quantity in endometriosis patients undergoing in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET), thereby providing a reference …

Published: April 23, 2026, midnight
Non-invasive endometriosis staging prediction using integrated radiomics and spatiotemporal transformer model based on dynamic contrast-enhanced MRI.

Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization-an invasive procedure marked by considerable inter-observer disagreement and diagnostic delays. Existing non-invasive approaches, …

Published: April 9, 2026, midnight
Prediction of endometrial tissue PFAS concentrations using serum levels, demographic, and reproductive factors: Findings from the Investigating Mixtures of Pollutants and Endometriosis in Tissue (IMPLANT) study.

Per- and polyfluoroalkyl substances (PFAS) accumulate in reproductive tissues, yet most studies rely on serum measurements. It remains unclear whether serum concentrations adequately reflect levels in target tissues. We evaluated …

Published: April 7, 2026, midnight
A heterogeneous graph neural network for candidate gene prediction in endometriosis.

Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endometriosis, remain poorly characterised genetically due to data scarcity, positive-unlabelled (PU) imbalance, and …

Published: March 23, 2026, midnight
Unraveling the genetic links between stature and disease in East Asians: A multi-biobank genetic correlation and risk prediction study.

Both genetic and environmental factors affect human stature, including overall height and familial short stature (FSS), and it is associated with various health outcomes. However, the study of genetic connections …

Published: March 13, 2026, midnight
Development of an early prediction model for endometriosis risk: the simplified adolescent factors for endometriosis (SAFE) score.

Endometriosis affects 11% of women of reproductive age. Diagnosis is often delayed by 6-8 years due to nonspecific symptoms and lack of early detection tools. This study aimed to develop …

Published: March 9, 2026, midnight
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 …

Published: March 3, 2026, midnight
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 …

Published: Feb. 28, 2026, midnight
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