To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
Sex hormone related disorders, characterized by complex etiology and long-term health risks, pose a significant challenge to global health. Hormone-based therapies are often accompanied by adverse effects and fail to …
Lysine lactylation (Kla) is a novel form of post-translational modification. It utilizes lactate as its core substrate. Through an enzymatic regulatory network, it mediates modifications of both histones and non-histone …
Female reproductive disorders present significant challenges worldwide. Transfer RNA-derived small RNAs (tsRNAs), a structurally diverse class of non-coding RNAs mainly comprising tRNA halves (tiRNAs) and tRNA-derived fragments (tRFs), have emerged …
BackgroundEndometriosis is a hormone-driven systemic inflammatory condition characterized by endometrial-like lesions which grow throughout the body affecting up to 15% of women worldwide with symptoms including chronic pain, infertility, and …
Endometriosis is a chronic estrogen-dependent disorder that is generally localized in the pelvis affecting up to 10% of women in the reproductive age. Extra-pelvic locations are estimated to 9% of …
Endometriosis (EMs) is a gynecological disorder affecting women of reproductive age. It is characterized by the ectopic implantation and infiltration of endometrial-like tissue and is associated with significant effects on …
Synchronous Endometrial and Ovarian Cancers: A Case Study and Literature Review CancerNetwork
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