Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning–based spectroscopic analysis

Author:

Fu Qiuyue,Zhang Yanjiao,Wang Peng,Pi Jiang,Qiu Xun,Guo Zhusheng,Huang Ya,Zhao Yi,Li Shaoxin,Xu Junfa

Funder

The Discipline Construction Project of Guangdong Medical University

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Reference49 articles.

1. Ozturk R, Murt A. Epidemiology of urological infections: a global burden. World J Urol. 2020;38(11):2669–79.

2. Andrei CC, Moraillon A, Lau S, Felidj N, Yamakawa N, Bouckaert J, et al. Rapid and sensitive identification of uropathogenic Escherichia coli using a surface-enhanced-Raman-scattering-based biochip. Talanta. 2020;21(9):1211–24.

3. Foxman B. Urinary tract infection syndromes: occurrence, recurrence, bacteriology, risk factors, and disease burden. Infect Dis Clin N Am. 2014;28(1):1–13.

4. Roleff HB. Methods of investigation. Dtsch Arztebl Int. 2010;107(46):824–32.

5. Galvan DD, Yu Q. Surface-enhanced Raman scattering for rapid detection and characterization of antibiotic-resistant bacteria. Adv Healthc Mater. 2018;7(13):1701–35.

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