Article
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning.
Scientific reports - 14 Sept 2020
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
Abstract excerpt
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 traditional phenotyping for the detection and surveillance of AMR. This work proposes a machine learning approach that can...
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