Predicting <i>Salmonella</i> MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility

Predicting <i>Salmonella</i> MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility

<i>Salmonella</i> spp., a leading cause of foodborne illness, is a formidable global menace due to escalating antimicrobial resistance (AMR). The evaluation of minimum inhibitory concentration (MIC) for antimicrobials is critical for characterizing AMR. The current whole genome sequencin...

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Bibliographic Details
Main Authors: Moses B. Ayoola, Athish Ram Das, B. Santhana Krishnan, David R. Smith, Bindu Nanduri, Mahalingam Ramkumar
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Microorganisms
Subjects:
<i>Salmonella</i>
antibiotics
MIC
machine learning
Online Access:https://www.mdpi.com/2076-2607/12/1/134

Internet

https://www.mdpi.com/2076-2607/12/1/134

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