医学
免疫学
人工智能
计算机科学
认知科学
心理学
梅德林
人工智能应用
重症监护医学
管理科学
作者
Yiquan Wang,Wenhao O. Ouyang,Chaoyang Wang,Armita Nourmohammad,Ge Liu,Nicholas C. Wu
标识
DOI:10.1016/j.it.2026.01.003
摘要
While artificial intelligence (AI) is transforming biological science, its full potential in immunology has yet to be realized due to limited data and the need for extensive experimental validation. This review provides a practical guide for experimental immunologists to actively contribute to AI development, with a focus on applications for B- and T-cell receptors. It not only gives an overview of common AI techniques in immunology but also highlights the important role of high-throughput experimental methodologies. Overall, we believe that the synergy between AI and experimental innovation will be a crucial catalyst for advancing the field of immunology.
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