Improving the Detection of Epidemic Clones in <i>Candida parapsilosis</i> Outbreaks by Combining MALDI-TOF Mass Spectrometry and Deep Learning Approaches

Improving the Detection of Epidemic Clones in <i>Candida parapsilosis</i> Outbreaks by Combining MALDI-TOF Mass Spectrometry and Deep Learning Approaches

Identifying fungal clones propagated during outbreaks in hospital settings is a problem that increasingly confronts biologists. Current tools based on DNA sequencing or microsatellite analysis require specific manipulations that are difficult to implement in the context of routine diagnosis. Using d...

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Bibliographic Details
Main Authors: Noshine Mohammad, Anne-Cécile Normand, Cécile Nabet, Alexandre Godmer, Jean-Yves Brossas, Marion Blaize, Christine Bonnal, Arnaud Fekkar, Sébastien Imbert, Xavier Tannier, Renaud Piarroux
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Microorganisms
Subjects:
MALDI TOF
epidemiology
<i>Candida parapsilosis</i>
neural network
artificial intelligence
outbreak
Online Access:https://www.mdpi.com/2076-2607/11/4/1071

Internet

https://www.mdpi.com/2076-2607/11/4/1071

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