To screen immune-related biomarkers in diagnosing patients with both endometriosis (EM) and systemic lupus erythematosus (SLE).
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on network pharmacology and machine learning. The effective …
Endometriosis profoundly impairs sexual function through complex interactions between pain, hormonal disturbances, psychological distress, and sociodemographic factors.
Background: Endometriosis is a complex condition that impairs women's quality of life and reproductive potential. Its diagnosis remains significant challenge for clinicians. The aim of the study was to investigate …
Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, …
Phthalates (PAEs), typical endocrine-disrupting chemicals (EDCs) that accumulate in the human body to induce reproductive toxicity, have epidemiological links to endometriosis (EM), but the underlying micro-mechanisms remain unclear. Ferroptosis is …
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …
Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with some theories proposing that the disease is caused by …