Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data

TJ Kieran, X Sun, TR Maines, JA Belser - Communications Biology, 2024 - nature.com
In vivo assessments of influenza A virus (IAV) pathogenicity and transmissibility in ferrets
represent a crucial component of many pandemic risk assessment rubrics, but few …

Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold

TJ Kieran, TR Maines, JA Belser - Plos Pathogens, 2024 - journals.plos.org
Meta-analyses of laboratory-generated data have the potential to improve experimental
protocols and offer meaningful understanding of complex biological processes. However …

Ex Vivo Experiments Shed Light on the Innate Immune Response from Influenza Virus

D Olmos Liceaga, SF Nunes, RA Saenz - Bulletin of Mathematical Biology, 2023 - Springer
The innate immune response is recognized as a key driver in controlling an influenza virus
infection in a host. However, the mechanistic action of such innate response is not fully …

Detection and real-time analysis of influenza disease using graph data science and a multi-layer perceptron model

E Alqaissi, F Alotaibi, MS Ramzan… - Journal of Intelligent & … - content.iospress.com
The influenza virus can spread easily, causing significant public health concern. Despite the
existence of different techniques for rapid detection and prevention of influenza, their …

Influenza a infections in the host: modeling and control approaches

G Hernandez Mejia - 2023 - publikationen.ub.uni-frankfurt.de
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses.
The World Health Organisation (WHO) reports that annual influenza epidemics result in …