Vaccinology in the artificial intelligence era

Area of Science:

• Vaccinology
• Computational Biology
• Public Health

Background:

• Artificial intelligence (AI) has demonstrated significant impact on vaccine antigen design.
• The broader potential of AI across the entire vaccinology pipeline remains largely untapped.

Purpose of the Study:

• To explore the transformative potential of artificial intelligence (AI) in advancing the complete vaccinology pipeline.
• To identify key areas within vaccinology where AI can drive innovation and improvement.

Main Methods:

• Review and synthesis of current AI applications in vaccinology.
• Analysis of AI's potential impact on various stages of vaccine development and deployment.

Main Results:

• AI has already transformed vaccine antigen design.
• AI holds potential to revolutionize immune response prediction, infectious disease forecasting, manufacturing, regulatory affairs, clinical trials, and vaccine equity.

Conclusions:

• Artificial intelligence offers unprecedented opportunities to enhance vaccine development and accessibility.
• The full realization of AI in vaccinology is contingent upon the availability of substantial high-quality data.