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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Ivan Belyaev, Alessandra Marolda, Jan-Philipp Praetorius, Arjun Sarkar, Anna Medyukhina, Kerstin Hünniger, Oliver Kurzai, Marc Thilo Figge
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2022-01-01
Serie:Computational and Structural Biotechnology Journal
Ämnen:
Candida infection
Bloodstream infection
Whole blood infection model
Image analysis
Machine learning
Diagnostic markers
Länkar:http://www.sciencedirect.com/science/article/pii/S2001037022001611
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk