Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from …
Endometriosis is the presence of endometrial tissue outside of the uterine cavity. Certain markers have been used to evaluate the severity of endometriosis. This study aimed to explore the correlation …
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 …
To identify the factors influencing postoperative recurrence in endometriosis patients after laparoscopic surgery and to evaluate their clinical predictive performance for postoperative recurrence.
Endometriosis is a mysterious disease that affects 5 %-10 % of the women of reproductive age. Circular RNAs (circRNAs), a type of noncoding RNA, are involved in its progression, yet …
To evaluate preoperative serum calcium levels and their association with deep infiltrating endometriosis (DIE) in ovarian endometrioma.
Fresh embryo transfer reduces waiting time and minimizes embryo cryodamage for endometriosis (EM) patients. The current prediction models for fresh embryo transfer outcomes in EM primarily rely on logistic regression, …
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 …
This study investigates the mechanism of Ge Xia-Zhu Yu decoction (GXZYT) in the treatment of endometriosis (EMS). The active components and targets of GXZYT were screened using TCMSP database and …
To develop and validate models to predict which endometriosis patients are likely to experience pain reduction following therapeutic laparoscopy using intraoperative findings and patient characteristics.