Vaginal microbiota molecular profiling and diagnostic performance of artificial intelligence-assisted multiplex PCR testing in women with bacterial vaginosis: a single-center experience

Vaginal microbiota molecular profiling and diagnostic performance of artificial intelligence-assisted multiplex PCR testing in women with bacterial vaginosis: a single-center experience

BackgroundBacterial vaginosis (BV) is a most common microbiological syndrome. The use of molecular methods, such as multiplex real-time PCR (mPCR) and next-generation sequencing, has revolutionized our understanding of microbial communities. Here, we aimed to use a novel multiplex PCR test to evalua...

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Bibliographic Details
Main Authors: Sihai Lu, Zhuo Li, Xinyue Chen, Fengshuangze Chen, Hao Yao, Xuena Sun, Yimin Cheng, Liehong Wang, Penggao Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
BV diagnosis
machine learning
mPCR
Lactobacillus spp.
CST
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2024.1377225/full

Internet

https://www.frontiersin.org/articles/10.3389/fcimb.2024.1377225/full

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