Endometriosis is often diagnosed late and presents significant challenges in clinical treatment. A comprehensive investigation of the cellular classification and composition of endometriosis is essential for studying its diagnosis and …
Integrated analysis of single-cell and bulk transcriptomic data reveals altered cellular composition and predictive cell types in ectopic endometriosis Frontiers
Endometriosis (EMS) is a chronic, gynecological condition affecting 6-10 % of reproductive-age women. While these lesions are benign, ovarian EMS presents cancer-like features, and can progress to endometriosis-correlated ovarian cancer …
To externally validate the Endometriosis Fertility Index (EFI) and to assess cumulative spontaneous pregnancy rates in women with moderate to severe endometriosis following fertility-enhancing minimally invasive surgery.
Electronic health records (EHRs) present opportunities to study uterine fibroids uterine fibroids and endometriosis within diverse populations. When using EHR data, it is important to validate outcome classification via diagnosis …
Endometriosis and Recurrent Implantation Failure (RIF) are both pivotal clinical issues within the realm of reproductive medicine, sharing significant overlap in their pathophysiological mechanisms. However, research exploring the commonalities between …
To investigate the possible ability of homocysteine (Hcy) levels in embryo culture media for estimating better invitro fertilization outcomes in endometriosis patients.
Endometriosis is a common chronic neuroinflammatory disease with a poorly understood pathogenesis. Molecular changes and specific immune cell infiltration in the eutopic endometrium are critical to disease progression. This study …
Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation ACS Publications
Infertility caused by endometriosis (EM) directly affects the possibility of pregnancy in women of gestational age. This study aims to establish a prediction model to accurately predict the natural pregnancy …