966. Large-Scale Evaluation of AST Prediction using Resistance Marker Presence/Absence vs. Machine Learning on WGS Data

BACKGROUND: Whole genome sequencing (WGS) of bacterial pathogens directly from clinical samples or cultured isolates is a promising technique for diagnosing infections, yet challenges remain in using WGS to guide antimicrobial therapy. The standard approach predicts antimicrobial susceptibility test...

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Detalles Bibliográficos
Autores principales: Conwill, Arolyn, Sater, Mohamad, Worley, Nicholas, Wittenbach, Jason, Huntley, Miriam H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678852/
http://dx.doi.org/10.1093/ofid/ofad500.2461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678852/
http://dx.doi.org/10.1093/ofid/ofad500.2461

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