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Noninvasive BCL6 Preoperative Screening and Anatomic Patterns of Endometriosis in Patients with Unexplained Infertility.

Background/Objectives: Endometriosis is a chronic, inflammatory, estrogen-dependent disease that has historically been underdiagnosed, especially in patients with unexplained infertility. On average, diagnosis is delayed by 11 years, underscoring the need …

Published: Jan. 4, 2026, midnight
One-Class Genetic Algorithm for Authentication Analysis of Spectrochemical Data.

One-class classifier (OCC) models are widely applied to solve classification problems where control or class modeling from a target class is necessary. In this study, OCC models such as Data …

Published: Dec. 31, 2025, midnight
In Situ Characterization and Deep Profiling of Engineered Multispecific Nanoparticle Metabolite Coronas for Precise Serum Diagnostics.

Upon exposure to biofluids, engineered nanoparticles (NPs) spontaneously form reproducible biomolecular coronas via selective diverse biomolecule adsorption. The corona characterization of metabolites poses greater analytical challenges than proteins due to …

Published: Dec. 26, 2025, midnight
AI-Driven Advances in Women's Health Diagnostics: Current Applications and Future Directions.

Background: Women's health has historically served as an incubator for major medical innovations yet often faces relative neglect in sustained funding and implementation. The rise of artificial intelligence (AI) and …

Published: Dec. 3, 2025, midnight
Proteome-wide Mendelian randomization identifies β-nerve growth factor as a target for endometriosis.

Endometriosis is a chronic inflammatory disorder with poorly understood mechanisms. Inflammatory proteins are hypothesized to play a causal role, but evidence remains limited. We performed a 2-sample Mendelian randomization study …

Published: Nov. 16, 2025, midnight
Linking childhood trauma to endometriosis: evidence and implications for reproductive health screening.

Published: Nov. 14, 2025, midnight
Integrative microbiome-metabolomics identifies Pseudomonas as a potential pathogenic factor in endometriosis.

Endometriosis (EMS) is a chronic disease characterized by unclear etiology, influenced by various genetic and environmental factors, with no definitive biomarkers available for early screening. Recent studies suggest that the …

Published: Oct. 30, 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
Serum Fingerprinting-Based Integrative Dual-Omics Machine Learning for Endometriosis-Associated Ovarian Cancer.

Dual-omics, by integrating molecular information from two distinct dimensions, can offer more comprehensive perspective for complex disease. Herein, we developed an efficient functionalized mesoporous nanoparticle-coupled laser desorption/ionization mass spectrometry (fMNPLDI-MS) …

Published: Oct. 16, 2025, midnight
Case Report: A patient with lynch syndrome with vaginal endometriosis-associated malignancy and synchronous colonic tubulovillous adenoma.

Endometriosis is a common gynecological condition. However, endometriosis-associated malignancies occur in up to 1% of women with endometriosis. Most cases of endometriosis-associated malignancy occur in the ovary, whereas 20% of …

Published: Oct. 8, 2025, midnight
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