The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms

The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms

Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting vulnerable populations such as infants and those with untreated HIV. Given the diagnostic intricacies of TBM, there’s a pressing need for rapid and reliable diagnostic tools. This review scrutinizes the efficacy of up-...

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Bibliographic Details
Main Authors: Yi Shi, Chengxi Zhang, Shuo Pan, Yi Chen, Xingguo Miao, Guoqiang He, Yanchan Wu, Hui Ye, Chujun Weng, Huanhuan Zhang, Wenya Zhou, Xiaojie Yang, Chenglong Liang, Dong Chen, Liang Hong, Feifei Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Microbiology
Subjects:
tuberculous meningitis
machine learning
next-generation sequencing
diagnosis
infectious diseases
mycobacterium tuberculosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1290746/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2023.1290746/full

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