Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections

Rapid identification of pathogens is required for early diagnosis and treatment of life-threatening bloodstream infections in humans. This requirement is driving the current developments of molecular diagnostic tools identifying pathogens from human whole blood after successful isolation and cultiva...

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Detalhes bibliográficos
Main Authors: Ivan Belyaev, Alessandra Marolda, Jan-Philipp Praetorius, Arjun Sarkar, Anna Medyukhina, Kerstin Hünniger, Oliver Kurzai, Marc Thilo Figge
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2022-01-01
Colecção:Computational and Structural Biotechnology Journal
Assuntos:
Candida infection
Bloodstream infection
Whole blood infection model
Image analysis
Machine learning
Diagnostic markers
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2001037022001611
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