Computational pipelines enhance predictive power in vaccine development, highlighting challenges in experimental validation and regulatory integration.
In silico approaches offer a transformative advantage to vaccine research by delivering speed, cost-efficiency, and enhanced precision. Yet the predictive power of current computational pipelines is still constrained by algorithmic limitations and by their incomplete integration of immune-regulatory processes. Progress in artificial intelligence, multi-omics integration, and formal recognition of digital evidence by regulatory agencies will be crucial for narrowing the gap between computational predictions and experimental validation. Ultimately, combining predictive immunoinformatics with advanced immune simulations and rigorous verification could help establish in silico methodologies as a cornerstone of next-generation vaccine development.
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Cernuto et al. (2025) studied this question.
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