The integration of AI and machine learning in vaccine research is transforming how scientists identify antigens, predict immune responses, and streamline clinical development. Algorithms analyze vast datasets from genomics, proteomics, and epidemiology to reveal hidden patterns and optimal vaccine targets. Machine learning models support epitope prediction, patient stratification, and adverse event monitoring, greatly improving efficiency and safety. These technologies also enhance predictive modeling of pathogen evolution, enabling proactive design against emerging threats. Automation of trial data analysis and digital twin simulations are shortening development timelines. As computational power grows, AI and machine learning in vaccine research are becoming indispensable tools, fostering faster, smarter, and more personalized vaccine innovation.
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