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The NLRP3 activation-related signature predicts the diagnosis and indicates immune characteristics in endometriosis.

Endometriosis (EMS) is a prevalent gynecological disease that leads to chronic pelvic pain and infertility in women of reproductive age. However, the underlying pathogenic genes and effective treatment for EMS …

Published: Jan. 31, 2025, midnight
The Multifactorial Burden of Endometriosis: Predictors of Quality of Life.

Background/Objectives: Endometriosis is a chronic gynecological disorder characterized by ectopic endometrial-like tissue. The symptoms of this disease negatively affect the patient's quality of life, both physically and mentally. This study …

Published: Jan. 7, 2025, midnight
Peripheral immune characteristics and subset disorder in reproductive females with endometriosis.

Pathogenesis of endometriosis (EN) is still unknown, but growing evidence suggests that immune regulation may be important, and the pattern of peripheral immune changes in reproductive women with EN has …

Published: Nov. 28, 2024, midnight
Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.

This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from …

Published: Nov. 25, 2024, midnight
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests.

Female reproductive disorders (FRDs) are common health conditions that may present with significant symptoms. Diet and environment are potential areas for FRD interventions. We utilized a knowledge graph (KG) method …

Published: April 17, 2024, midnight
Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis.

Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers …

Published: Nov. 27, 2023, midnight
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