TY  - GEN
AU  - Khaledi, Ariane
AU  - Weimann, Aaron
AU  - Schniederjans, Monika
AU  - Asgari, Ehsaneddin
AU  - Kuo, Tzu-Hao
AU  - Oliver, Antonio
AU  - Cabot, Gabriel
AU  - Kola, Axel
AU  - Gastmeier, Petra
AU  - Hogardt, Michael
AU  - Jonas, Daniel
AU  - Mofrad, Mohammad RK
AU  - Bremges, Andreas
AU  - McHardy, Alice C
AU  - Haeussler, Susanne
PY  - 2020
DO  - 10.15252/emmm.201910264
SN  - 1757-4676
UR  - https://hdl.handle.net/20.500.12105/23050
AB  - Limited therapy options due to antibiotic resistance underscore the need for optimization of current diagnostics. In some bacterial species, antimicrobial resistance can be unambiguously predicted based on their genome sequence. In this study, we...
LA  - eng
PB  - Wiley
KW  - Antibiotic resistance
KW  - Biomarkers
KW  - Clinical isolates
KW  - Machine learning
KW  - Molecular diagnostics
TI  - Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
TY  - research article
ER  -