Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has recently become a useful analytical approach for microbial identification. The presence and absence of specific peaks on MS spectra are commonly used to identify the bacterial species and predict antibi...

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Bibliographic Details
Main Authors: Hsin-Yao Wang, Tsung-Ting Hsieh, Chia-Ru Chung, Hung-Ching Chang, Jorng-Tzong Horng, Jang-Jih Lu, Jia-Hsin Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Microbiology
Subjects:
vancomycin-resistant Enterococcus faecium (VREfm)
antibacterial drug resistance
MALDI-TOF MS
convolutional neural network (CNN)
rapid detection
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.821233/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.821233/full

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