Novel Clinical mNGS-Based Machine Learning Model for Rapid Antimicrobial Susceptibility Testing of Acinetobacter baumannii

Multidrug-resistant (MDR) bacteria are important public health problems. Antibiotic susceptibility testing (AST) currently uses time-consuming culture-based procedures, which cause treatment delays and increased mortality. We developed a machine learning model using Acinetobacter baumannii as an exa...

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Veröffentlicht in:	Journal of clinical microbiology 2023-05, Vol.61 (5), p.e0180522-e0180522
Hauptverfasser:	Hu, Xuejiao, Zhao, Yunhu, Han, Peng, Liu, Suling, Liu, Weijiang, Mai, Cong, Deng, Qianyun, Ren, Jing, Luo, Jiajie, Chen, Fangyuan, Jia, Xuefeng, Zhang, Jing, Rao, Guanhua, Gu, Bing
Format:	Artikel
Sprache:	eng
Schlagworte:	Acinetobacter baumannii Anti-Bacterial Agents - pharmacology Anti-Infective Agents Bacteriology Cefepime Ceftazidime Ciprofloxacin Clinical Microbiology Drug Resistance, Multiple, Bacterial - genetics High-Throughput Nucleotide Sequencing Imipenem Microbial Sensitivity Tests Prospective Studies Retrospective Studies
Online-Zugang:	Volltext
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