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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Autors principals:	Haiquan Kang, Ziling Wang, Jingfang Sun, Shuang Song, Lei Cheng, Yi Sun, Xingqi Pan, Changyu Wu, Ping Gong, Hongchun Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2024-07-01
Col·lecció:	Frontiers in Microbiology
Matèries:	bloodstream infection (BSI) Raman spectroscopy convolutional neural network pathogen drug resistance
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmicb.2024.1428304/full
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