Raman spectrum combined with deep learning for precise recognition of Carbapenem-resistant Enterobacteriaceae

This study is significant for guiding antibiotic use in CRE infection, as the sensitive antibiotic used in treatment can be predicted directly by measuring CRE spectra. Our study demonstrates the potential of combining SERS with deep learning algorithms to identify CRE without culture labels and classify its sensitive antibiotics. This approach provides a new idea for rapid and accurate clinical detection of CRE and has important significance for alleviating the rapid development of resistance to CRE.PMID:38383664 | DOI:10.1007/s00216-024-05209-9

Source: Analytical and Bioanalytical Chemistry - February 21, 2024 Category: Chemistry Authors: Wen Wang Xin Wang Ya Huang Yi Zhao Xianglin Fang Yanguang Cong Zhi Tang Luzhu Chen Jingyi Zhong Ruoyi Li Zhusheng Guo Yanjiao Zhang Shaoxin Li Source Type: research