Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia

Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia

Although emerging evidence revealed that the gut microbiome served as a tool and as biomarkers for predicting and detecting specific cancer or illness, it is yet unknown if vaginal microbiome-derived bacterial markers can be used as a predictive model to predict the severity of CIN. In this study, w...

Full description

Bibliographic Details
Main Authors: Yoon Hee Lee, Gi-Ung Kang, Se Young Jeon, Setu Bazie Tagele, Huy Quang Pham, Min-Sueng Kim, Sajjad Ahmad, Da-Ryung Jung, Yeong-Jun Park, Hyung Soo Han, Jae-Ho Shin, Gun Oh Chong
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Diagnostics
Subjects:
cervical intraepithelial neoplasia
machine learning
vaginal microbiome
Online Access:https://www.mdpi.com/2075-4418/10/12/1013

Internet

https://www.mdpi.com/2075-4418/10/12/1013

Similar Items