Fighting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
A. Khaledi, A. Weimann, M. Schniederjans, E. Asgari, T.-H. Kuo, A. Oliver, G. Cabot, A. Kola, P. Gastmeier, M. Hogardt, D. Jonas, M. Mofrad, A. Bremges, A. C. McHardy, S. Haeussler
This study uses machine learning on genomic and transcriptomic data to predict antimicrobial resistance in Pseudomonas aeruginosa, achieving high sensitivity for four antibiotics.
bioRxiv · May 24, 2019Microbiology