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Updated: Jun 11, 2025

Atomic Force Microscopy Combined with Infrared Spectroscopy as a Tool to Probe Single Bacterium Chemistry
08:51

Atomic Force Microscopy Combined with Infrared Spectroscopy as a Tool to Probe Single Bacterium Chemistry

Published on: September 15, 2020

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机器学习在FTIR频谱中用于识别抗生素耐药性:与不同种类的微生物进行演示

Claudia Patricia Barrera Patiño1, Jennifer Machado Soares1, Kate Cristina Blanco1

  • 1São Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense No. 400, Parque Arnold Schimidt, São Carlos CEP 13566-590, SP, Brazil.

Antibiotics (Basel, Switzerland)
|September 28, 2024
PubMed
概括

机器学习通过分析细菌结构配置文件,有效地识别抗菌素耐药性. 这种方法准确地区分了格拉姆阳性和格拉姆阴性细菌的耐药性,有助于治疗策略.

关键词:
埃舍里希亚大肠杆菌 (Escherichia coli) 是一个大肠杆菌.克莱布西拉肺炎是一种肺炎.突变性链球菌 (Streptococcus mutans) 是一种菌.这是一种Streptococcus pyogenes.抗生素耐药细菌是抗生素耐药的细菌.机器学习算法的算法

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