Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Front Med. 2014 Sep;8(3):279-84. doi: 10.1007/s11684-014-0367-6. Epub 2014 Sep 9.
Traditional Chinese medicine (TCM) has been gradually accepted by the world. Despite its widespread use in clinical settings, a major challenge in TCM is to study it scientifically. This difficulty arises from the fact that TCM views human body as a complex dynamical system, and focuses on the balance of the human body, both internally and with its external environment. As a result, conventional tools that are based on reductionist approach are not adequate. Methods that can quantify the dynamics of complex integrative systems may bring new insights and utilities about the clinical practice and evaluation of efficacy of TCM. The dynamical complexity theory recently proposed and its computational algorithm, Multiscale Entropy (MSE) analysis, are consistent with TCM concepts. This new system level analysis has been successfully applied to many health and disease related topics in medicine. We believe that there could be many promising applications of this dynamical complexity concept in TCM. In this article, we propose some promising applications and research areas that TCM practitioners and researchers can pursue.
中医(TCM)已逐渐被世界所接受。尽管它在临床环境中得到广泛应用,但 TCM 面临的一个主要挑战是对其进行科学研究。这一困难源于 TCM 将人体视为复杂的动力系统,并关注人体内部和与外部环境之间的平衡。因此,基于还原论方法的传统工具并不充分。可以量化复杂综合系统动力学的方法可能会为 TCM 的临床实践和疗效评估带来新的见解和应用。最近提出的动力复杂性理论及其计算算法,多尺度熵(MSE)分析,与 TCM 概念一致。这种新的系统水平分析已成功应用于医学中许多与健康和疾病相关的主题。我们相信,这种动力复杂性概念在 TCM 中有很多有前途的应用。在本文中,我们提出了 TCM 从业者和研究人员可以探索的一些有前途的应用和研究领域。