Suppr超能文献

传统中医:现代动力复杂性理论的潜在方法。

Traditional Chinese medicine: potential approaches from modern dynamical complexity theories.

机构信息

Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.

Department of Health Care Studies, Daemen College, Amherst, NY, 14226, USA.

出版信息

Front Med. 2016 Mar;10(1):28-32. doi: 10.1007/s11684-016-0434-2. Epub 2016 Jan 25.

Abstract

Despite the widespread use of traditional Chinese medicine (TCM) in clinical settings, proving its effectiveness via scientific trials is still a challenge. TCM views the human body as a complex dynamical system, and focuses on the balance of the human body, both internally and with its external environment. Such fundamental concepts require investigations using system-level quantification approaches, which are beyond conventional reductionism. Only methods that quantify dynamical complexity can bring new insights into the evaluation of TCM. In a previous article, we briefly introduced the potential value of Multiscale Entropy (MSE) analysis in TCM. This article aims to explain the existing challenges in TCM quantification, to introduce the consistency of dynamical complexity theories and TCM theories, and to inspire future system-level research on health and disease.

摘要

尽管中药(TCM)在临床环境中被广泛应用,但通过科学试验证明其有效性仍然是一个挑战。TCM 将人体视为一个复杂的动力系统,注重人体内部和与外部环境的平衡。这些基本概念需要使用系统级的量化方法进行研究,而这些方法超出了传统的还原论。只有能够量化动态复杂性的方法才能为 TCM 的评估带来新的见解。在之前的一篇文章中,我们简要介绍了多尺度熵(MSE)分析在 TCM 中的潜在价值。本文旨在解释 TCM 量化中存在的挑战,介绍动力复杂性理论与 TCM 理论的一致性,并为健康和疾病的系统级研究提供启示。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验