Researchers are exploring the use of artificial intelligence and machine learning to improve vaccination strategies and disease control. Various approaches are being investigated, including the integration of graph and reinforcement learning, protein language and geometric deep learning models, and fuzzy logic with machine and deep learning algorithms. The applications of these methods range from predicting genetic evolution of viruses to identifying suitable vaccines, optimizing mRNA vaccine engineering, and minimizing outbreaks through targeted disease control.