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The Future of Vaccine Development: Integrating Genomic Data and Artificial Intelligence

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Received Date: Jul 01, 2024 / Published Date: Jul 31, 2024

Copyright: © 0  . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
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Abstract

The integration of genomic data and artificial intelligence (AI) is poised to revolutionize vaccine development, offering unprecedented opportunities to accelerate the discovery and optimization of vaccines. This paper explores how genomic data can enhance the understanding of pathogen biology and host responses, while AI technologies can streamline data analysis, predict vaccine targets, and personalize vaccine formulations. Through a review of recent advancements and case studies, we highlight the transformative potential of these technologies, identify current challenges, and propose future directions for research. Our findings suggest that combining genomic insights with AI-driven approaches will significantly advance the field, improving vaccine efficacy and accelerating responses to emerging infectious diseases.

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