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Machine-learning-derived prediction models of recurrence of ovarian endometriosis after laparoscopic surgery.

Endometriosis is a long-term health problem that affects a significant number of women globally. Among the various forms of endometriosis, ovarian endometriosis (OEM) is the most prevalent. This research aimed …

Published: Nov. 10, 2025, midnight
Integrated bioinformatics analysis and machine learning identifies FZD4, SRPX2, and COL8A1 as angiogenesis hub genes in endometriosis.

This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened …

Published: Oct. 26, 2025, midnight
SPP1 as a key modulator of M2 macrophage polarization promotes endometriosis progression via activation of the FAK/PI3K/AKT pathway: A bioinformatics and experimental study.

Endometriosis (EMs) is a gynecological disorder characterized by chronic inflammation and an aberrant immune microenvironment. In this study, we integrated the GSE6364 dataset from the GEO database to identify differentially …

Published: Sept. 17, 2025, midnight
Diagnostic Potential of Serum Circulating miRNAs for Endometriosis in Patients with Chronic Pelvic Pain.

Background: Endometriosis is a chronic gynecological condition marked by ectopic endometrial-like tissue, leading to inflammation, pain, and infertility. Diagnosis is often delayed by up to 10 years. Identifying non-invasive biomarkers …

Published: July 21, 2025, midnight
Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis.

Endometriosis and Recurrent Implantation Failure (RIF) are both pivotal clinical issues within the realm of reproductive medicine, sharing significant overlap in their pathophysiological mechanisms. However, research exploring the commonalities between …

Published: March 17, 2025, midnight
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
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