Fingerprint
Dive into the research topics of 'Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad R.K. Mofrad, Andreas Bremges, Alice C. McHardy*, Susanne Häussler
*Corresponding author for this work
Research output: Contribution to journal › Article › peer-review
124
Citations
(Scopus)