Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning

@inproceedings{Chaudhury2018IdentificationOI,
  title={Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning},
  author={Sidhartha Chaudhury and Elizabeth H. Duncan and Tanmaya Atre and Casey K Storme and Kevin L. Beck and Stephen A. Kaba and David E. Lanar and Elke S Bergmann-Leitner},
  booktitle={Scientific Reports},
  year={2018}
}
Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action and precisely how they alter or enhance vaccine-induced immune responses are often unclear. In this study, we used broad immunoprofiling of antibody, cellular, and cytokine responses, combined with data integration and machine learning to gain insight into the impact of different adjuvant formulations on vaccine-induced immune responses. A Self-Assembling Protein Nanoparticles (SAPN) presenting… CONTINUE READING
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