A comprehensive review on artificial intelligence driven approaches for vaccine development: Current advances,...

Area of Science:

• Biomedical Technology
• Computational Biology
• Infectious Disease Research

Background:

• Traditional vaccine development is slow, costly, and inefficient.
• The COVID-19 pandemic underscored the need for rapid vaccine solutions.
• Artificial intelligence (AI) offers a transformative approach to vaccine research.

Purpose of the Study:

• To review the applications of AI in vaccine development.
• To explore AI's role from antigen prediction to clinical trial optimization.
• To discuss ethical considerations and future trends in AI-driven vaccines.

Main Methods:

• Integration of computational biology, machine learning, structural bioinformatics, and immunoinformatics.
• Review of AI applications across the vaccine development pipeline.
• Analysis of AI's potential in immunogen design and adjuvant optimization.

Main Results:

• AI significantly streamlines vaccine development, reducing time and cost.
• AI enables enhanced antigen prediction, clinical trial optimization, and efficacy modeling.
• AI facilitates data mining for improved vaccine research outcomes.

Conclusions:

• AI has the potential to revolutionize vaccine development and global health security.
• AI integration across disciplines is key to overcoming infectious disease challenges.
• Further research and ethical considerations are vital for AI-driven vaccine advancements.