Endometriosis is a prevalent gynecologic disorder associated with infertility and increased cancer risk, necessitating the development of sensitive and reliable diagnostic methods. Circulating microRNAs (miRNAs) have emerged as promising noninvasive …
The link between endometriosis and other medical conditions is gaining attention. Such insights could enhance clinical approaches to manage the disease and potentially reveal new, unrecognized mechanisms of its development. …
To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
Endometriosis is a condition characterized by the growth of tissue similar to the uterine lining outside the uterus. This study aimed to evaluate certain sex hormones and determine the levels …
The diagnosis of endometriosis is often delayed, partly due to low awareness of the disease. One way to elevate awareness is through Instagram campaigns, such as Endometriosis Awareness Month (EAM), …
Background/Objectives: The diagnosis of endometriosis (EM) remains challenging due to the lack of a perfect diagnostic standard and the poor concordance between clinical symptoms and lesion severity. Although laparoscopy is …
Endometriosis is underpinned by dysfunctional immune responses resulting in failure to clear ectopic endometrial lesions from the peritoneal cavity. The pelvic milieu comprising immature dendritic cells, dysfunctional cytotoxic lymphocytes, and …
Endometriosis has been associated with alterations in the reproductive tract microbiota, yet studies focusing on the endometrial microbiome remain inconsistent, partly due to the low-biomass nature of this niche and …
Women with endometriosis and adenomyosis have an increased risk of age-dependent diseases such as cardiovascular disease and cancer. Whether this reflects differences in biological age is unknown.