Rapid antimicrobial susceptibility testing for mixed bacterial infection in urine by AI-stimulated Raman scattering metabolic imaging

Urinary tract infection with mixed microorganisms may lead to false-positive resistance detection. Current antimicrobial susceptibility testing (AST) performed in clinical laboratories is based on bacterial culture and takes a long time for mixed bacterial infections. Here, we propose a machine lear...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Weifeng Zhang, Xun Chen, Jing Zhang, Xiangmei Chen, Liqun Zhou, Pu Wang, Weili Hong
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2022-12-01
Σειρά:	Medicine in Novel Technology and Devices
Θέματα:	Mixed bacterial infections Antimicrobial susceptibility testing Stimulated Raman scattering Machine learning
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S2590093522000194
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