Predicting and modeling vaccination-induced immune responses through the development of advanced computational models for immunosequencing data.

High throughput sequencing allows the characterization of the human immune system, but the resulting data cannot simply be translated into clinical insights. We have therefore developed artificial intelligence models that can translate T-cell receptor (TCR) and gene expression data into useful insights about an individual's immune status. For example, we have developed the first online platform to predict the epitopes of TCRs. We have demonstrated its value for predicting and modeling vaccination-induced immune responses.

Keywords:T HELPER LYMPHOCYTE

Disciplines:Immunogenetics