Cargando…
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning
It is important that antibiotics prescriptions are based on antimicrobial susceptibility data to ensure effective treatment outcomes. The increasing availability of next-generation sequencing, bacterial whole genome sequencing (WGS) can facilitate a more reliable and faster alternative to traditiona...
Autores principales: | Pataki, Bálint Ármin, Matamoros, Sébastien, van der Putten, Boas C. L., Remondini, Daniel, Giampieri, Enrico, Aytan-Aktug, Derya, Hendriksen, Rene S., Lund, Ole, Csabai, István, Schultsz, Constance |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490380/ https://www.ncbi.nlm.nih.gov/pubmed/32929164 http://dx.doi.org/10.1038/s41598-020-71693-5 |
Ejemplares similares
-
Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
por: Matamoros, Sébastien, et al.
Publicado: (2020) -
Pitfalls of interpreting ciprofloxacin minimum inhibitory concentrations in Salmonella enterica serovar Typhi
por: Khan, Sadia, et al.
Publicado: (2012) -
Deep learning identification for citizen science surveillance of tiger mosquitoes
por: Pataki, Balint Armin, et al.
Publicado: (2021) -
Effects of sub-minimum inhibitory concentrations of ciprofloxacin on biofilm formation and virulence factors of Escherichia coli
por: Dong, Guofeng, et al.
Publicado: (2019) -
Escherichia ruysiae sp. nov., a novel Gram-stain-negative bacterium, isolated from a faecal sample of an international traveller
por: van der Putten, Boas C. L., et al.
Publicado: (2021)