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Rapid identification of bloodstream infection pathogens and drug resistance using Raman spectroscopy enhanced by convolutional neural networks

Bloodstream infections (BSIs) are a critical medical concern, characterized by elevated morbidity, mortality, extended hospital stays, substantial healthcare costs, and diagnostic challenges. The clinical outcomes for patients with BSI can be markedly improved through the prompt identification of th...

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Principais autores: Haiquan Kang, Ziling Wang, Jingfang Sun, Shuang Song, Lei Cheng, Yi Sun, Xingqi Pan, Changyu Wu, Ping Gong, Hongchun Li
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2024-07-01
coleção:Frontiers in Microbiology
Assuntos:
bloodstream infection (BSI)
Raman spectroscopy
convolutional neural network
pathogen
drug resistance
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmicb.2024.1428304/full
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