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

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) are typical...

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Detalles Bibliográficos
Autores principales: Zagajewski, Alexander, Turner, Piers, Feehily, Conor, El Sayyed, Hafez, Andersson, Monique, Barrett, Lucinda, Oakley, Sarah, Stracy, Mathew, Crook, Derrick, Nellåker, Christoffer, Stoesser, Nicole, Kapanidis, Achillefs N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645916/
https://www.ncbi.nlm.nih.gov/pubmed/37964031
http://dx.doi.org/10.1038/s42003-023-05524-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645916/
https://www.ncbi.nlm.nih.gov/pubmed/37964031
http://dx.doi.org/10.1038/s42003-023-05524-4

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