Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination responseResearch in context

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination responseResearch in context

Summary: Background: Despite decades of research on the influenza virus, we still lack a predictive understanding of how vaccination reshapes each person’s antibody response, which impedes efforts to design better vaccines. Models using pre-vaccination antibody haemagglutination inhibition (HAI) ti...

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Bibliographic Details
Main Authors: Hannah Stacey, Michael A. Carlock, James D. Allen, Hannah B. Hanley, Shane Crotty, Ted M. Ross, Tal Einav
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:EBioMedicine
Subjects:
Vaccine response
Machine learning
Antibody–virus interactions
Haemagglutination inhibition
Influenza
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425001884
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