Development and validation of a quick, automated, and reproducible ATR FT-IR spectroscopy machine-learning model for <i>Klebsiella pneumoniae</i> typing
Ângela Novais, Ana Beatriz Rodrigues Gonçalves, Teresa Gonçalves Ribeiro, Ana R. Freitas, Gema Méndez, Luis Mancera, Antónia Read, Valquíria Alves, Lorena López‐Cerero, Jesús Rodríguez‐Baño, Álvaro Pascual, Luísa Maria Sobreira Vieira Peixe
Abstract
We created and validated an automated and simple workflow for the identification of clinically relevant Klebsiella pneumoniae lineages by FT-IR spectroscopy and machine-learning, a method that can be extremely useful to provide quick and reliable typing information to support real-time decisions of outbreak management and infection control. This method and workflow is of interest to support clinical microbiology diagnostics and to aid public health surveillance.
Topics & Concepts
Klebsiella pneumoniaeWorkflowTypingClinical microbiologyComputer scienceMedicineMicrobiologyBiologyDatabaseEscherichia coliGeneBiochemistrySpectroscopy Techniques in Biomedical and Chemical ResearchBacterial Identification and Susceptibility TestingSpectroscopy and Chemometric Analyses