A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study

<p><strong>Background:</strong> Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to infe...

ver descrição completa

Detalhes bibliográficos
Principais autores:	Jackson, HR, Zandstra, J, Menikou, S, Hamilton, MS, McArdle, AJ, Fischer, R, Thorne, AM, Huang, H, Tanck, MW, Jansen, MH, De, T, Agyeman, PKA, Von Both, U, Carrol, ED, Emonts, M, Eleftheriou, I, Van der Flier, M, Fink, C, Gloerich, J, De Groot, R, Moll, HA, Pokorn, M, Pollard, AJ, Schlapbach, LJ, Tsolia, MN, Usuf, E, Wright, VJ, Yeung, S, Zavadska, D, Zenz, W, Coin, LJM, Casals-Pascual, C, Cunnington, AJ, Martinon-Torres, F, Herberg, JA, de Jonge, MI, Levin, M, Kuijpers, TW, Kaforou, M
Outros Autores:	PERFORM consortium
Formato:	Journal article
Idioma:	English
Publicado em:	Elsevier 2023

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study

Registros relacionados