AI for science:Predicting infectious diseases

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外文摘要：The global health landscape has been persistently challenged by the emergence and re-emergence of infectious diseases.Traditional epidemiological models,rooted in the early 20th century,have provided foundational in-sights into disease dynamics.However,the intricate web of modern global interactions and the exponential growth of available data demand more advanced predictive tools.This is where AI for Science(AI4S)comes into play,offering a transformative approach by integrating artificial intelligence(AI)into infectious disease pre-diction.This paper elucidates the pivotal role of AI4S in enhancing and,in some instances,superseding tradi-tional epidemiological methodologies.By harnessing AI's capabilities,AI4S facilitates real-time monitoring,sophisticated data integration,and predictive modeling with enhanced precision.The comparative analysis highlights the stark contrast between conventional models and the innovative strategies enabled by AI4S.In essence,AI4S represents a paradigm shift in infectious disease research.It addresses the limitations of traditional models and paves the way for a more proactive and informed response to future outbreaks.As we navigate the complexities of global health challenges,AI4S stands as a beacon,signifying the next phase of evolution in disease prediction,characterized by increased accuracy,adaptability,and efficiency.

外文关键词：

AI for science(AI4S)Data integrationGlobal health challengesInfectious disease predictionPredictive modelingReal-time monitoring

作者：

Alexis Pengfei Zhao、Shuangqi Li、Zhidong Cao、Paul Jen-Hwa Hu、Jiaojiao Wang、Yue Xiang、Da Xie、Xi Lu

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作者单位：

Institute of Automation,Chinese Academy of Sciences,University of Chinese Academy of Sciences,Beijing 100090,China

Systems Engineering,Cornell University,Ithaca,NY 14853,USA

David Eccles School of Business,the University of Utah,Utah,USA

College of Electrical Engineering,Sichuan University,China

Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

School of Electrical Engineering,Southeast University,Nanjing,210096,China

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出版年：

2024

DOI：

10.1016/j.jnlssr.2024.02.002

安全科学与韧性(英文)

ISSN：

年,卷(期)：2024.(2)