Vaccinology in the artificial intelligence era

作者：Gianmarco Gasperini, Norman W. Baylor, Steve Black, David E. Bloom, Jakob P. Cramer, Gaël de Lannoy, Philippe Denoël, Mark B. Feinberg, Thibault Helleputte, Gagandeep Kang, William R. Schief, Lynda M. Stuart, Charlie Weller, Magdalena Zwierzyna, Rino Rappuoli · 发表于：Science Translational Medicine · 年份：2025 · DOI：10.1126/scitranslmed.adu3791 · 被引用次数：8 · 研究领域：vaccines and immunoinformatics approaches、SARS-CoV-2 and COVID-19 Research、Vaccine Coverage and Hesitancy

Artificial intelligence (AI) has already transformed vaccine antigen design and could transform the entire vaccinology pipeline, including immune responses and emerging infectious disease prediction, manufacturing and regulatory processes, clinical trial design and implementation, and vaccine access and equity. However, realizing the promise of AI for vaccinology requires more high-quality data.