Article ; Online: Optimising machine learning prediction of minimum inhibitory concentrations in
2024 Volume 10, Issue 3
Abstract: Minimum Inhibitory Concentrations (MICs) are the gold standard for quantitatively measuring antibiotic resistance. However, lab-based MIC determination can be time-consuming and suffers from low reproducibility, and interpretation as sensitive or ... ...
Abstract | Minimum Inhibitory Concentrations (MICs) are the gold standard for quantitatively measuring antibiotic resistance. However, lab-based MIC determination can be time-consuming and suffers from low reproducibility, and interpretation as sensitive or resistant relies on guidelines which change over time. Genome sequencing and machine learning promise to allow |
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MeSH term(s) | Klebsiella pneumoniae/genetics ; Reproducibility of Results ; Anti-Bacterial Agents/pharmacology ; Machine Learning ; Microbial Sensitivity Tests |
Chemical Substances | Anti-Bacterial Agents |
Language | English |
Publishing date | 2024-03-26 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2835258-0 |
ISSN | 2057-5858 ; 2057-5858 |
ISSN (online) | 2057-5858 |
ISSN | 2057-5858 |
DOI | 10.1099/mgen.0.001222 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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