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Leveraging artificial intelligence in vaccine development: A narrative review.

David B Olawade1, Jennifer Teke2, Oluwaseun Fapohunda3

  • 1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom.

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Summary

Artificial intelligence (AI) is revolutionizing vaccine development by accelerating antigen selection and epitope prediction. This technology streamlines the creation of safe and effective vaccines, improving global public health outcomes.

Keywords:
AI-enabled clinical trialsArtificial intelligencePersonalized vaccinesPrecision vaccine designRapid vaccine development

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Area of Science:

  • Immunology
  • Computational Biology
  • Public Health

Background:

  • Traditional vaccine development is slow and expensive.
  • Infectious diseases pose a significant global health burden.
  • Artificial intelligence (AI) offers a transformative approach to vaccine design.

Purpose of the Study:

  • To review the role of AI in accelerating vaccine development.
  • To explore AI applications in antigen selection, epitope prediction, and adjuvant identification.
  • To discuss challenges and future directions for AI in vaccinology.

Main Methods:

  • Review of AI applications in vaccine design, including machine learning and deep learning.
  • Analysis of AI's use in leveraging genomic data, protein structures, and immune interactions.
  • Examination of AI's role in immunogen design and adjuvant discovery.

Main Results:

  • AI algorithms can predict antigenic epitopes and assess immunogenicity with high accuracy.
  • AI facilitates the rational design of immunogens and identification of novel adjuvants.
  • AI integration promises enhanced precision and scalability in vaccine design.

Conclusions:

  • AI significantly impacts vaccine development, offering faster and more efficient processes.
  • Addressing challenges like data heterogeneity and model interpretability is crucial.
  • Interdisciplinary collaboration and regulatory harmonization are needed to expedite vaccine delivery.