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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Bibliografiska uppgifter

Huvudupphov:	Haiquan Kang, Ziling Wang, Jingfang Sun, Shuang Song, Lei Cheng, Yi Sun, Xingqi Pan, Changyu Wu, Ping Gong, Hongchun Li
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2024-07-01
Serie:	Frontiers in Microbiology
Ämnen:	bloodstream infection (BSI) Raman spectroscopy convolutional neural network pathogen drug resistance
Länkar:	https://www.frontiersin.org/articles/10.3389/fmicb.2024.1428304/full
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