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
Further reading: Contagion Live
Author(s): Alexandra Ward
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OUR UNDERWRITERS
Unrestricted financial support by:
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Antimicrobial Resistance Fighter Coalition |
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Bangalore Bioinnovation Centre |
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INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
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