Telomere-related genes as potential biomarkers to predict endometriosis and immune response: Development of a machine learning-based risk model

Telomere-related genes as potential biomarkers to predict endometriosis and immune response: Development of a machine learning-based risk model

IntroductionEndometriosis (EM) is an aggressive, pleomorphic, and common gynecological disease. Its clinical presentation includes abnormal menstruation, dysmenorrhea, and infertility, which seriously affect the patient's quality of life. However, the pathogenesis underlying EM and associated r...

Full description

Bibliographic Details
Main Authors: He Zhang, Weimin Kong, Yunkai Xie, Xiaoling Zhao, Dan Luo, Shuning Chen, Zhendong Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Medicine
Subjects:
telomere
endometriosis
immune response
machine learning
risk model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1132676/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1132676/full

Similar Items