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

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 developed and tes...

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Detalles Bibliográficos
Autores principales: Jhutty, Suneet Singh, Boehme, Julia D., Jeron, Andreas, Volckmar, Julia, Schultz, Kristin, Schreiber, Jens, Schughart, Klaus, Zhou, Kai, Steinheimer, Jan, Stöcker, Horst, Stegemann-Koniszewski, Sabine, Bruder, Dunja, Hernandez-Vargas, Esteban A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765554/
https://www.ncbi.nlm.nih.gov/pubmed/36346236
http://dx.doi.org/10.1128/msystems.00459-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765554/
https://www.ncbi.nlm.nih.gov/pubmed/36346236
http://dx.doi.org/10.1128/msystems.00459-22

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