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Identifying Predictive Biomarkers and Immune Infiltration Features in Endometriosis.

Published: March 23, 2026, midnight
Using artificial intelligence to predict sexual health outcomes in endometriosis: a decision tree model algorithm.

Endometriosis profoundly impairs sexual function through complex interactions between pain, hormonal disturbances, psychological distress, and sociodemographic factors.

Published: March 23, 2026, midnight
Exploration of driver biomarkers and immune microenvironment in patients with endometriosis: Evidence from RNA-seq and machine learning.

Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, …

Published: March 9, 2026, midnight
Mechanism study of phthalate exposure promoting endometriosis: Based on the ferroptosis perspective.

Phthalates (PAEs), typical endocrine-disrupting chemicals (EDCs) that accumulate in the human body to induce reproductive toxicity, have epidemiological links to endometriosis (EM), but the underlying micro-mechanisms remain unclear. Ferroptosis is …

Published: March 2, 2026, midnight
The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …

Published: Feb. 25, 2026, midnight
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 …

Published: Feb. 25, 2026, midnight
Identification of a Potential Biomarker PDGFRA for Endometriosis Based on Comprehensive Analysis of Multiple Omics Data.

Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with some theories proposing that the disease is caused by …

Published: Feb. 20, 2026, midnight
Integration of Raman tweezers and machine learning for label-free single-cell characterization of endometriosis cells.

Endometriosis occurs when endometrial tissue grows outside the uterus, affecting millions of women worldwide. Despite extensive research, its cellular mechanisms remain unclear, complicating both diagnosis and treatment. This study presents …

Published: Feb. 19, 2026, midnight
Correction: Diagnostic accuracy of machine learning for endometriosis: a systematic review and meta-analysis.

[This corrects the article DOI: 10.3389/fendo.2025.1735567.].

Published: Feb. 18, 2026, midnight
Study on biomarkers associated with epigenetic factors in endometriosis combining transcriptome with experimental validation.

Endometriosis (EM) is a disease related to reproductive dysfunction. The mechanism of epigenetic factors (EF) in EM still needs to be studied. Emerging evidence suggests that EF plays a role …

Published: Feb. 3, 2026, midnight
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