Predicting Resistance in Pseudomonas aeruginosa With Machine Learning

  07 October 2019

Investigators in Texas have developed a new algorithm, variant mapping and prediction of AMR (VAMPr) using publicly available whole genome sequencing and antibiotic susceptibility testing (AST) data. In research presented at IDWeek 2019, the research team details the creation of machine learning prediction models

Authors: Alexandra Ward
Smart Innovations  
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