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ZHENG-Omics Application in ZHENG Classification and Treatment: Chinese Personalized Medicine.

Authors :
Jianye Dai
Junwei Fang
Shujun Sun
Qiwen Chen
Huijuan Cao
Ningning Zheng
Yongyu Zhang
Aiping Lu
Source :
Evidence-based Complementary & Alternative Medicine (eCAM). 2013, Vol. 2013, p1-9. 9p. 1 Diagram, 3 Charts, 2 Graphs.
Publication Year :
2013

Abstract

With the hope to provide an effective approach for personalized diagnosis and treatment clinically, traditional chinese medicine (TCM) is being paid increasing attention as a complementary and alternative medicine. It performs treatment based on ZHENG (TCM syndrome) classification, which could be identified clinical special phenotypes by symptoms and signs of patients even if they have a different disease. However, it caused controversy because ZHENG classification only depends on observation, knowledge, and clinical experience of TCM practitioners, which lacks objectivity and repeatability. Although researchers and scientists of TCM have done some work with a lot of beneficial methods, the results could not reach satisfactory with the shortcomings of generalizing the entire state of the body or ignoring the patients' feelings. By total summary, mining, and integration of existing researches, the present paper attempts to introduce a novel macro-microconcept of ZHENG-omics, with the prospect of bright future in providing an objective and repeatable approach for Chinese personalized medicine in an effective way. In this paper, we give the brief introduction and preliminary validation, and discuss strategies and system-oriented technologies for achieving this goal. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1741427X
Volume :
2013
Database :
Academic Search Index
Journal :
Evidence-based Complementary & Alternative Medicine (eCAM)
Publication Type :
Academic Journal
Accession number :
95496308
Full Text :
https://doi.org/10.1155/2013/235969