scholarly journals Design of a SPR sensor for efficacy evaluation of traditional Chinese Medicine

Author(s):  
Helin Zhang ◽  
Guolong Zhang ◽  
Kang Zhang
Author(s):  
Yulin Wang ◽  
Xiuming Shi ◽  
Li Li ◽  
Thomas Efferth ◽  
Dong Shang

Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jie Zhang ◽  
Zong-Ming Zhang

The ethical review of TCM (traditional Chinese medicine) clinical research in China is highly consistent with that of Western medicine, but it lacks the characteristics and culture of TCM. Compared with modern medicine, TCM has its own characteristics, such as the theory of Yin-Yang and the five elements, the treatment of syndrome differentiation, and the compatibility of prescriptions. These characteristics determine the ethical particularity of TCM clinical research. This article discusses the challenges in the ethical review of TCM clinical research, such as scientific design, efficacy evaluation, risk assessment, informed consent, and placebo use. We propose opportunities and difficulties in the ethical review of TCM clinical research and provide some relevant suggestions.


2015 ◽  
Vol 43 (07) ◽  
pp. 1281-1310 ◽  
Author(s):  
Pengcheng Wang ◽  
Qiuhong Wang ◽  
Bingyou Yang ◽  
Shan Zhao ◽  
Haixue Kuang

Traditional Chinese medicine (TCM) has played important roles in health protection and disease treatment for thousands of years in China and has gained the gradual acceptance of the international community. However, many intricate issues, which cannot be explained by traditional methods, still remain, thus, new ideas and technologies are needed. As an emerging system biology technology, the holistic view adopted by metabolomics is similar to that of TCM, which allows us to investigate TCM with complicated conditions and multiple factors in depth. In this paper, we tried to give a timely and comprehensive update about the methodology progression of metabolomics, as well as its applications, in different fields of TCM studies including quality control, processing, safety and efficacy evaluation. The herbs investigated by metabolomics were selected for detailed examination, including Anemarrhena asphodeloides Bunge, Atractylodes macrocephala Kidd, Pinellia ternate, etc.; furthermore, some valuable results have been obtained and summarized. In conclusion, although the study of metabolomics is at the early phase and requires further scrutiny and validation, it still provides bright prospects to dissect the synergistic action of multiple components from TCM. Overall, with the further development of analytical techniques, especially multi-analysis techniques, we expect that metabolomics will greatly promote TCM research and the establishment of international standards, which is beneficial to TCM modernization.


2008 ◽  
Vol 36 (04) ◽  
pp. 675-683 ◽  
Author(s):  
Yiting He ◽  
Aiping Lu ◽  
Cheng Lu ◽  
Yinglin Zha ◽  
Xiaoping Yan ◽  
...  

The predictive roles of symptom combination traditionally evaluated in traditional Chinese medicine (TCM) in the treatment of rheumatoid arthritis (RA) were explored. Three hundred and ninety six patients were randomly divided into 197 subjects receiving Western medicine therapy (WM) and 199 subjects receiving TCM therapy (TCM). A complete physical examination and 18 clinical manifestations typically assessed in TCM were recorded before the randomization. The ACR responses were used for efficacy evaluation. ACR20 and 50 responses with WM treatment were higher than in the TCM group. The 18 symptoms in RA could be clustered into 4 symptom combinations with factor analysis, which represent joint symptoms, cold pattern, deficiency pattern and hot pattern in TCM respectively. TCM would be more effective in patients with weak-symptom combination 3 (deficiency pattern in TCM), and WM would be more effective in patients with symptom combination 2 (cold pattern in TCM). Symptom combinations judged with TCM may have influence on the efficacy of therapy in the treatment of RA.


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