Endometriosis, a common condition affecting 5-10% of women of reproductive age, is the growth of endometrial-like tissue outside the uterus, leading to pain and infertility. Current treatments, such as surgery …
Ultrasound techniques for diagnosing deep infiltrating endometriosis (DIE) currently lack a quantitative method to assess microstructural heterogeneity in relation to diagnosis and clinical symptoms. This study evaluates Shannon entropy-based radiomics …
Ovarian endometriosis(OEM) is the most common type of endometriosis, but there is still a lack of simple and easy-to-promote animal models. Therefore, it is necessary to establish a feasible animal …
Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early …
Endometriosis, a prevalent women's health condition, is associated with persistent pelvic pain and infertility. Despite ongoing research, its precise disease mechanism remains elusive, impeding the discovery of a definitive cure. …
The interplay between the gut microbiome and reproductive health has gained increasing attention in recent years. Emerging research suggests that imbalances in the gut microbiome may impact reproductive function through …
Palmitoylation, a post-translational lipid modification, has garnered increasing attention for its role in inflammatory processes and tumorigenesis. Emerging evidence suggests a potential association between palmitoylation and inflammatory responses in the …
MiRNAs regulate gene expression, impacting reproductive health, such as infertility and implantation failure. This study investigated the association between miRNA polymorphisms and male infertility (azoospermia, oligospermia), female infertility (endometriosis), and …
Endometriosis (EMS) significantly impacts women's health and is influenced by genetic factors and environmental endocrine-disrupting chemicals (EDCs), which interfere with hormonal balance. Using the Gene Expression Omnibus database, we identified …
Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications …