Global fertility rates continue to decline despite advancements in assisted reproductive technologies, highlighting a significant gap in our understanding of the mechanisms underlying preconception physiology. In this commentary, we review …
Endometriosis-related infertility is a prevalent reproductive health concern of global significance. Functional abnormalities of the endometrium are increasingly recognized as a pivotal contributor to infertility in affected individuals. In the …
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