@inbook{365e60bc14af417d8704465517397d27,
title = "Artificial Intelligence for Vaccine Design",
abstract = "Often likened to “the new electricity,” artificial intelligence (AI) has broad and sweeping impact in many areas. Perhaps most exciting among these are in bioinformatics as AI allows for new and increasingly powerful ways of understanding genomics, proteomics, and immunology, just to name a few areas. Also exciting is a parallel growth in high-throughput assays including sequencing which will further accelerate the development and use of AI in biomedicine. In this chapter, we will discuss artificial intelligence and deep leaning in particular, and we will review how such approaches are enhancing and even reshaping vaccine design in terms of epitope detection and optimization. Moreover, we discuss how AI is particularly valuable to the design of mRNA vaccines including in research and production. Finally, we will discuss several additional areas across trials and operations where AI will have pervasive impact on the development of vaccines going forward.",
keywords = "Artificial intelligence, Deep learning, Neural network",
author = "Peter McCaffrey",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2022",
month = dec,
doi = "10.1007/978-1-0716-1892-9_1",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "3--13",
booktitle = "Methods in Molecular Biology",
}