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Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning
The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard, Raman spectroscopy promises rapid label- and culture-free identi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524333/ https://www.ncbi.nlm.nih.gov/pubmed/36180775 http://dx.doi.org/10.1038/s41598-022-20850-z |