Predicting Resistance in Pseudomonas aeruginosa With Machine Learning
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
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CAPI (Continuous AMR Partnering Initiative) unites Suppliers and Users worldwide with the aim to add to the curbing of AMR.