Advancing single-shot vaccine design through AI and computational models

Abstract

Single-dose vaccines represent a transformative advancement in immunization, offering durable and effective immunity through a single administration. The incorporation of artificial intelligence (AI) and computational modeling has significantly enhanced the development of these vaccines. This review provides an in-depth analysis of AI's contributions to epitope identification, immunogenicity prediction, optimization of vaccine stability, and controlled-release mechanisms. Furthermore, real-world applications are examined through case studies that demonstrate the impact of AI-driven methodologies in accelerating and refining vaccine development. Highlights AI-driven advancements have revolutionized single-dose vaccine development enabling precise epitope identification, immunogenicity prediction, and stability optimization. This review highlights cutting-edge methodologies and real-world case studies that show AI's transformative role of AI in enhancing vaccine efficacy and accelerating immunization innovations.