This study aims to develop a machine learning-based predictive model for patients with endometriosis, with the goal of precisely identifying key factors and reliable predictive markers that influence live birth …
Endometriosis, a complex gynecological disorder characterized by aberrant growth of endometrial tissue outside the uterine cavity, poses a significant challenge to women's health. Emerging evidence implicates environmental pollutants, particularly di-(2-ethylhexyl) …
Establishment and validation of a nomogram model for predicting early death in patients with endometrial cancer bone metastases Frontiers
Identification and Validation of Lactate-related gene signatures in endometriosis for clinical valuation and immune characterization by WGCNA and machine learning Frontiers
Triptorelin, a gonadotropin-releasing hormone(GnRH) agonist, is approved by the US Food and Drug Administration(FDA) for treating advanced prostate cancer, endometriosis, and central precocious puberty(CPP) in children aged ≥ 2 years. …
How reliable are self-reported endometriosis or adenomyosis data compared with medical reports in online patient surveys?
Each year, over 700,000 pregnancies occur in the UK, with up to 10% affected by complications such as hypertensive disorders of pregnancy and gestational diabetes mellitus. Pregnancy-related complications and reproductive …
The gender knowledge gap in medicine, particularly regarding menstruation and disorders such as endometriosis, often results in delayed diagnoses and inadequate care. Many menstruating individuals report dismissal of debilitating symptoms, …
Fig. 2 Validation of COL1A1, ITGB1, THY1, and PDGFRA expression levels... researchgate.net