Leveraging artificial intelligence in vaccine development: A narrative review.

Journal article

Olawade, David B., Teke, Jennifer, Fapohunda, Oluwaseun, Weerasinghe, Kusal, Usman, Sunday O., Ige, Abimbola O. and Clement David-Olawade, Aanuoluwapo 2024. Leveraging artificial intelligence in vaccine development: A narrative review. Journal of microbiological methods. 224, p. 106998. https://doi.org/10.1016/j.mimet.2024.106998
AuthorsOlawade, David B., Teke, Jennifer, Fapohunda, Oluwaseun, Weerasinghe, Kusal, Usman, Sunday O., Ige, Abimbola O. and Clement David-Olawade, Aanuoluwapo
AbstractVaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity and mortality. However, traditional vaccine development methods are often time-consuming, costly, and inefficient. The advent of artificial intelligence (AI) has ushered in a new era in vaccine design, offering unprecedented opportunities to expedite the process. This narrative review explores the role of AI in vaccine development, focusing on antigen selection, epitope prediction, adjuvant identification, and optimization strategies. AI algorithms, including machine learning and deep learning, leverage genomic data, protein structures, and immune system interactions to predict antigenic epitopes, assess immunogenicity, and prioritize antigens for experimentation. Furthermore, AI-driven approaches facilitate the rational design of immunogens and the identification of novel adjuvant candidates with optimal safety and efficacy profiles. Challenges such as data heterogeneity, model interpretability, and regulatory considerations must be addressed to realize the full potential of AI in vaccine development. Integrating emerging technologies, such as single-cell omics and synthetic biology, promises to enhance vaccine design precision and scalability. This review underscores the transformative impact of AI on vaccine development and highlights the need for interdisciplinary collaborations and regulatory harmonization to accelerate the delivery of safe and effective vaccines against infectious diseases. [Abstract copyright: Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.]
KeywordsPersonalized vaccines; AI-enabled clinical trials; Artificial intelligence; Precision vaccine design; Rapid vaccine development
Year2024
JournalJournal of microbiological methods
Journal citation224, p. 106998
PublisherElsevier
ISSN1872-8359
Digital Object Identifier (DOI)https://doi.org/10.1016/j.mimet.2024.106998
https://doi.org/S0167-7012(24)00110-6
Official URLhttps://www.sciencedirect.com/science/article/pii/S0167701224001106?via%3Dihub
Publication dates
Online15 Jul 2024
Publication process dates
Accepted12 Jul 2024
Deposited05 Aug 2024
Publisher's version
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File Access Level
Open
Output statusPublished
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https://repository.canterbury.ac.uk/item/98931/leveraging-artificial-intelligence-in-vaccine-development-a-narrative-review

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