AI and Data Science in Vaccine Discovery

AI and big data analytics are transforming vaccine discovery by accelerating antigen identification, epitope mapping, and immune response prediction. Machine learning algorithms analyze vast datasets from genomics, proteomics, and epidemiology to identify promising vaccine targets with greater speed and precision. AI models can simulate virus-host interactions and optimize vaccine formulations before entering clinical trials. Big data enables real-time monitoring of pathogen evolution and vaccine efficacy across populations. This synergy of AI and data science is paving the way for faster, cost-effective, and more personalized vaccine development.

  • Machine learning in immunogen prediction
  • Clinical trial automation
  • Digital health records for trials
  • Predictive modeling in vaccine efficacy

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