人工智能重塑疫苗研发新范式:效率革命与精准设计OA

Artificial intelligence(AI)is systematically reshaping the entire vaccine research and development pipeline through integrating deep learning architectures with multi-omics data.This facilitates a paradigm shift from traditional trial-and-error empirical approaches to a novel rational design framework centered on data-driven and algorithm-generated methodologies.Despite challenges including data heterogeneity,model opacity,algorithmic bias,and lagging regulatory frameworks,AI enables a transformative leap from structural mimicry to functional innovation in vaccine design via deep integration with immunological mechanisms.This review comprehensively analyzes AI applications across key vaccine development stages:target identification,antigen design,adjuvant screening,process optimization,clinical trial design,and vaccine hesitancy mitigation.We particularly summarize recent tools,core architectures,functional features,and representative cases for AI-powered rational vaccine design,providing actionable references for future AI implementation in vaccinology.