Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach
文献类型：期刊论文
| 作者 | Wang, Fei-Yue1,2 ; Wong, Pak Kin3
|
| 刊名 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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