Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach
	Wang, Fei-Yue1,2 ; Wong, Pak Kin 3
刊名	ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
	2013-03-01
卷号	4 期号:2 页码:6 pages
关键词	Theory
通讯作者	Wang, Fei-Yue
英文摘要	One of the principal goals in medicine is to determine and implement the best treatment for patients through fastidious estimation of the effects and benefits of therapeutic procedures. The inherent complexities of physiological and pathological networks that span across orders of magnitude in time and length scales, however, represent fundamental hurdles in determining effective treatments for patients. Here we argue for a new approach, called the ACP-based approach, that combines artificial (societies), computational (experiments), and parallel (execution) methods in intelligent systems and technology for integrative and predictive medicine, or more generally, precision medicine and smart health management. The advent of artificial societies that collect the clinically relevant information in prognostics and therapeutics provides a promising platform for organizing and experimenting complex physiological systems toward integrative medicine. The ability of computational experiments to analyze distinct, interactive systems such as the host mechanisms, pathological pathways, and therapeutic strategies, as well as other factors using the artificial systems, will enable control and management through parallel execution of real and arficial systems concurrently within the integrative medicine context. The development of this framework in integrative medicine, fueled by close collaborations between physicians, engineers, and scientists, will result in preventive and predictive practices of a personal, proactive, and precise nature, including rational combinatorial treatments, adaptive therapeutics, and patient-oriented disease management.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
研究领域[WOS]	Computer Science
关键词[WOS]	RESISTANCE ; WORLDWIDE ; DRUGS
收录类别	SCI
语种	英语
WOS记录号	WOS:000321223100014
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3594]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 2.Natl Univ Def Technol, Changsha, Hunan, Peoples R China 3.Univ Arizona, Systemat Bioengn Lab, Tucson, AZ USA
推荐引用方式 GB/T 7714	Wang, Fei-Yue,Wong, Pak Kin. Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2013,4(2):6 pages.
APA	Wang, Fei-Yue,&Wong, Pak Kin.(2013).Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,4(2),6 pages.
MLA	Wang, Fei-Yue,et al."Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 4.2(2013):6 pages.