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Identification of appropriate biomarkers is of great clinical significance for early diagnosis of endometriosis (EMs). This study aimed to comprehensively analyze the association between EMs and blood and urine biomarkers …
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 …
Endometriosis is a chronic inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects approximately 10-15% of women of reproductive age globally and is characterized …
ObjectiveThis study aimed to investigate the relationship between the cardiometabolic index and the prevalence of endometriosis among reproductive-age women in the United States. This cross-sectional population-based study used data from …
Systemic lupus erythematosus (SLE) is a clinically heterogeneous autoimmune disease with multifactorial pathogenesis. Although polygenic risk scores (PRSs) have been developed to enable early prediction, their accuracy remains limited. To …
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 …