Latest Articles

The Financial Toxicity of Endometriosis: Unseen Costs and Policy Gaps.

Endometriosis affects 1 in 10 Canadians, yet its financial toxicity remains poorly understood. While universal healthcare covers physician and hospital services, patients face substantial out-of-pocket costs for medications, complementary therapies, …

A Decision Tree Model Integrating Ultrasound Sliding Sign Optimizes Surgical Planning for Stage IV Endometriosis: An Ambispective Cohort Study.

Mesothelin as a Diagnostic Biomarker in Endometriosis: A Cross-Sectional Study.

Endometriosis is a prevalent gynecological condition often requiring invasive procedures for diagnosis. This study aimed to assess mesothelin (MSLN) as a potential non-invasive biomarker by analyzing its levels in peritoneal …

Endometrial Stromal Cells from Endometriosis Patients Reflect Lesion-Type-Specific Heterogeneity.

Endometriosis, a disease affecting about one out of ten women, is characterized by the growth of endometrial-like tissue outside the uterine cavity. There is significant disease heterogeneity, but the pathophysiological …

Quarter of all ovarian cancer cases linked to endometriosis: expert - NewsNation

Quarter of all ovarian cancer cases linked to endometriosis: expert NewsNation

Best Endometriosis Care in Europe for Chronic Pelvic Pain Management - Medical Tourism Magazine

Best Endometriosis Care in Europe for Chronic Pelvic Pain Management Medical Tourism Magazine

Elite Women’s Health: Why Endometriosis Must Be a Priority - Medical Tourism Magazine

Elite Women’s Health: Why Endometriosis Must Be a Priority Medical Tourism Magazine

Why Switzerland Leads in High-Quality Endometriosis Treatment - Medical Tourism Magazine

Why Switzerland Leads in High-Quality Endometriosis Treatment Medical Tourism Magazine

Switzerland’s Most Trusted Endometriosis Specialist for Long-Term Relief - Medical Tourism Magazine

Switzerland’s Most Trusted Endometriosis Specialist for Long-Term Relief Medical Tourism Magazine

Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk - Nature

Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk Nature