Speaker:
Title:
Lost in Translation: Predicting Human Vaccine Response from Preclinical Animal Models
Abstract:
The recent increase in emergence of infectious
diseases illuminates the need for more efficient
vaccine development. Currently the pipeline is limited
by our ability to relate biological findings from animal
models to clinical trial outcomes. Here we propose a
generalizable computational framework that enables us to predict vaccine efficacy in
humans and identify correlates of immunity based on preclinical data. This
cross-species model may improve our mechanistic understanding of vaccine-induced
immunity and accelerate the development pipeline.