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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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