Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance

Over the past decades, conventional methods and molecular assays have been developed for the detection of tuberculosis (TB). However, these techniques suffer limitations in the identification of Mycobacterium tuberculosis (Mtb), such as long turnaround time and low detection sensitivity, etc., not e...

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Detalles Bibliográficos
Autores principales: Wang, Liang, Zhang, Xue-Di, Tang, Jia-Wei, Ma, Zhang-Wen, Usman, Muhammad, Liu, Qing-Hua, Wu, Chang-Yu, Li, Fen, Zhu, Zuo-Bin, Gu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526180/
https://www.ncbi.nlm.nih.gov/pubmed/36212533
http://dx.doi.org/10.1016/j.csbj.2022.09.031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526180/
https://www.ncbi.nlm.nih.gov/pubmed/36212533
http://dx.doi.org/10.1016/j.csbj.2022.09.031

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