Background: This study was a cross-sectional online survey aimed at examining health-related quality of life and the effect of different symptoms and lifestyle factors on health-related quality of life in …
The female reproductive system (FRS) exhibits unique immunological characteristics, balancing defense against pathogens with tolerance to sperm and semi-allogeneic embryos. Key players include decidual natural killer (dNK) cells, immune checkpoint …
The female reproductive system represents a highly complex regulatory network governing critical physiological functions, encompassing reproductive capacity and endocrine regulation that maintains female physiological homeostasis. The in vitro simulation system …
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, …