Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning

Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning

ABSTRACT The tracking of pathogen burden and host responses with minimally invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory influenza A virus (IAV) infection, we develope...

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Bibliographic Details
Main Authors: Suneet Singh Jhutty, Julia D. Boehme, Andreas Jeron, Julia Volckmar, Kristin Schultz, Jens Schreiber, Klaus Schughart, Kai Zhou, Jan Steinheimer, Horst Stöcker, Sabine Stegemann-Koniszewski, Dunja Bruder, Esteban A. Hernandez-Vargas
Format: Article
Language:English
Published: American Society for Microbiology 2022-12-01
Series:mSystems
Subjects:
influenza
machine learning
hematological parameters
cytokines
immune cells
biosystems
Online Access:https://journals.asm.org/doi/10.1128/msystems.00459-22

Internet

https://journals.asm.org/doi/10.1128/msystems.00459-22

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