管道(软件)
反向疫苗学
计算机科学
传染病(医学专业)
人工智能
医学
抗原
免疫学
疾病
病理
表位
程序设计语言
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
标识
DOI:10.1126/scitranslmed.adu3791
摘要
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.
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