Back to search

Article

Optimising machine learning prediction of minimum inhibitory concentrations in <i>Klebsiella pneumoniae</i>

2023-11-21

Abstract excerpt

<h4>ABSTRACT</h4> 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 in-silico MIC prediction as an alternati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9502f457-2858-59d6-b9bc-49bd3b5ddf17
DOI
10.1101/2023.11.20.567835
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Optimising machine learning prediction of minimum inhibitory concentrations in <i>Klebsiella pneumoniae</i>DOI 10.1101/2023.11.20.567835
Select a neighboring publication to make it the new centre.