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A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort study utilizing peripheral blood and coagulation markers.

Endometriosis (EMs) and adenomyosis (AD) are common gynecological diseases that impact women's health, and they share symptoms such as dysmenorrhea, chronic pain, and infertility, which adversely affect women's quality of …

Published: Sept. 10, 2024, midnight
Causal effects of genetically predicted endometriosis on breast cancer: a two-sample Mendelian randomization study.

This study used a Mendelian randomization (MR) approach to investigate the causal relationship between genetically predicted endometriosis (EMS) and breast cancer risk. A total of 122,977 cases and 105,974 controls …

Published: Oct. 12, 2023, midnight
Exosomal lncRNA CHL1-AS1 Derived from Peritoneal Macrophages Promotes the Progression of Endometriosis via the miR-610/MDM2 Axis.

Exosomes secreted by peritoneal macrophages (pMφ) are deeply involved in the development of endometriosis (EMs). Exosomes can mediate cell-to-cell communication by transferring biological molecules. This study aimed to explore the …

Published: Aug. 12, 2021, midnight
Biological characteristics of endometriotic mesenchymal stem cells isolated from ectopic lesions of patients with endometriosis.

Research into the pathogenesis of endometriosis (EMs) would substantially promote its effective treatment and early diagnosis. However, the aetiology of EMs is poorly understood and controversial despite the progress in …

Published: Aug. 8, 2020, midnight
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