Endometriosis is a chronic condition characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects ~10% of reproductive-aged individuals and is associated with dysmenorrhea and infertility. Although …
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, focusing on the …
Breakthrough pain requiring anesthesiologist intervention occurs in 14-55% of parturients despite labor epidural analgesia, substantially affecting the childbirth experience. Identifying predictive factors may enable more effective, individualized pain management.
This study aims to identify molecular markers with prognostic value for biochemical pregnancy in follicular fluid (FF) samples from women with endometriosis after assisted reproductive technology (ART) intervention. Levels of …
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 …
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.
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