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
Join the AMR Insights Ambassador Network today!
Connect to over 650 AMR professionals and students in 65 countries!