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A Multimodal Approach to Symptomatic Endometriosis: A Proposed Algorithm for Clinical Management.

Recent research has proven that peripheral (PS) and central sensitization (CS), mental health, and myofascial dysfunction all play a role, alongside nociception, in the genesis and in the perpetuation of …

Published: Jan. 7, 2025, midnight
Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis.

Endometriosis is a complex gynecological condition characterized by abnormal immune responses. This study aims to explore the immunomodulatory effects of monoterpene glycosides from Paeonia lactiflora on endometriosis. Using the ssGSEA …

Published: Jan. 3, 2025, 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
Machine Learning-Based Detection of Endometriosis: A Retrospective Study in A Population of Iranian Female Patients.

Endometriosis, is a prevalent condition among women of childbearing age, characterized by the presence of ectopic endometrial glands. It is associated with pelvic pain and infertility. Unfortunately, the diagnosis of …

Published: Oct. 30, 2024, midnight
A Pain Desensitization Algorithm for Phenotyping and Treating Chronic Pelvic Pain.

Chronic pelvic pain remains challenging for physicians to manage due to central and peripheral sensitization and multiple pain generators including the bladder, pelvic floor, and pudendal nerve. Pain management providers …

Published: Oct. 13, 2024, 4:36 p.m.
Descriptive Analysis of Common Fusion Mutations in Papillary Thyroid Carcinoma in Hungary.

Thyroid cancer is the most common type of endocrine malignancy. Papillary thyroid carcinoma (PTC) is its predominant subtype, which is responsible for the vast majority of cases. It is true …

Published: Oct. 8, 2024, midnight
Comparative Analysis of Shapley Values Enhances Transcriptomics Insights across Some Common Uterine Pathologies.

Uterine pathologies pose a challenge to women's health on a global scale. Despite extensive research, the causes and origin of some of these common disorders are not well defined yet. …

Published: June 1, 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
Identification and Exploration of Novel Macrophage M2-Related Biomarkers and Potential Therapeutic Agents in Endometriosis.

Endometriosis (EM) is a chronic neuroinflammatory disorder that is associated with pain and infertility that affects ∼10% of reproductive-age women. The pathophysiology and etiology of EM remain poorly understood, and …

Published: July 6, 2021, midnight
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