AI and immunology as a new research paradigm

IF 27.7 1区 医学 Q1 IMMUNOLOGY
Anupama E. Gururaj, Richard H. Scheuermann, Dawei Lin
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引用次数: 0

Abstract

The National Institute of Allergy and Infectious Diseases (NIAID) hosted a symposium on ‘AI and Immunology: Exploring Challenges and Opportunities’. The event considered how artificial intelligence (AI) can advance research on the multi-scale, adaptive immune system to improve human health, covering basic research and clinical use cases, data and AI model fundamentals.

Abstract Image

人工智能和免疫学是一种新的研究范式
美国国家过敏与传染病研究所(NIAID)主办了一场题为 "人工智能与免疫学 "的研讨会:探索挑战与机遇 "研讨会。该活动探讨了人工智能(AI)如何推动对多尺度、适应性免疫系统的研究,以改善人类健康,内容涵盖基础研究和临床用例、数据和人工智能模型基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Immunology
Nature Immunology 医学-免疫学
CiteScore
40.00
自引率
2.30%
发文量
248
审稿时长
4-8 weeks
期刊介绍: Nature Immunology is a monthly journal that publishes the highest quality research in all areas of immunology. The editorial decisions are made by a team of full-time professional editors. The journal prioritizes work that provides translational and/or fundamental insight into the workings of the immune system. It covers a wide range of topics including innate immunity and inflammation, development, immune receptors, signaling and apoptosis, antigen presentation, gene regulation and recombination, cellular and systemic immunity, vaccines, immune tolerance, autoimmunity, tumor immunology, and microbial immunopathology. In addition to publishing significant original research, Nature Immunology also includes comments, News and Views, research highlights, matters arising from readers, and reviews of the literature. The journal serves as a major conduit of top-quality information for the immunology community.
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