Authors: Gianmarco Gasperini, Norman Baylor, Steve Black, David E. Bloom, Jakob Cramer, Gaël de Lannoy, Philippe Denoel, Mark Feinberg, Thibault Helleputte, Gagandeep Kang, William R. Schief, Lynda Stuart, Charlie Weller, Magda Zwierzyna, Rino Rappuoli
Published: 2025-04-16
DOI: 10.1126/scitranslmed.adu3791
Source: Full article
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.