Endometriosis is a prevalent gynecological disorder characterized by the ectopic presence of endometrial tissue and chronic inflammation. This study aimed to explore the therapeutic potential of the Casein kinase 1 …
This study aims to develop a machine learning-based predictive model for patients with endometriosis, with the goal of precisely identifying key factors and reliable predictive markers that influence live birth …
Endometriosis, a complex gynecological disorder characterized by aberrant growth of endometrial tissue outside the uterine cavity, poses a significant challenge to women's health. Emerging evidence implicates environmental pollutants, particularly di-(2-ethylhexyl) …
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Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically …
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Establishment and validation of a nomogram model for predicting early death in patients with endometrial cancer bone metastases Frontiers
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Background/Objectives: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and endometriosis are debilitating conditions that share overlapping features of chronic inflammation and immune dysregulation, yet their epidemiological relationship remains poorly characterized. The objective …