Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach
Wang, Fei-Yue1,2; Wong, Pak Kin3
Source PublicationACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
2013-03-01
Volume4Issue:2Pages:6 pages
SubtypeEditorial Material
AbstractOne 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.
KeywordTheory
WOS HeadingsScience & Technology ; Technology
WOS KeywordRESISTANCE ; WORLDWIDE ; DRUGS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000321223100014
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3594
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWang, Fei-Yue
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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