Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli

Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli

Abstract The rise of antimicrobial resistance (AMR) is one of the greatest public health challenges, already causing up to 1.2 million deaths annually and rising. Current culture-based turnaround times for bacterial identification in clinical samples and antimicrobial susceptibility testing (AST) ar...

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Bibliographic Details
Main Authors: Alexander Zagajewski, Piers Turner, Conor Feehily, Hafez El Sayyed, Monique Andersson, Lucinda Barrett, Sarah Oakley, Mathew Stracy, Derrick Crook, Christoffer Nellåker, Nicole Stoesser, Achillefs N. Kapanidis
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05524-4

Internet

https://doi.org/10.1038/s42003-023-05524-4

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