scholarly journals Potential Therapeutic Effect of Traditional Chinese Medicine on Coronavirus Disease 2019: A Review

2020 ◽  
Vol 11 ◽  
Author(s):  
Qin Qiu ◽  
Yuge Huang ◽  
Xiaohua Liu ◽  
Fangfang Huang ◽  
Xiaoling Li ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Severe Acute Respiratory Syndrome ◽  
Small Molecules ◽  
Prevention And Control ◽  
Clinical Manifestations ◽  
Syndrome Differentiation ◽  
Treatment Measures ◽  
Syndrome Differentiation And Treatment ◽  
And Control

The Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 has been rapidly spreading globally and has caused worldwide social and economic disruption. Currently, no specific antiviral drugs or clinically effective vaccines are available to prevent and treat COVID-19. Traditional Chinese medicine (TCM) can facilitate syndrome differentiation and treatment according to the clinical manifestations of patients and has demonstrated effectiveness in epidemic prevention and control. In China, TCM intervention has helped to control the epidemic; however, TCM has not been fully recognized worldwide. In this review, we summarize the epidemiology and etiological characteristics of severe acute respiratory syndrome coronavirus 2 and the prevention and treatment measures of COVID-19. Additionally, we describe the application of TCM in the treatment of COVID-19 and the identification of small molecules of TCM that demonstrate anti-coronavirus activity. We also analyze the current problems associated with the recognition of TCM. We hope that, through the contribution of TCM, combined with modern technological research and the support of our international counterparts, COVID-19 can be effectively controlled and treated.

scholarly journals Research Progress of TCM Treatment of Uterine Fibroids

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Xiaoyu Lu ◽  
Xinjie Hu ◽  
Mei Chen
Keyword(s):  
Chinese Medicine ◽  
Side Effects ◽  
Traditional Chinese Medicine ◽  
Uterine Fibroids ◽  
Research Progress ◽  
Syndrome Differentiation ◽  
Benign Tumors ◽  
Syndrome Differentiation And Treatment

Uterine fibroids are the most common benign tumors in gynecology. Traditional Chinese medicine treats uterine fibroids according to syndrome differentiation and treatment. The treatment of uterine fibroids has the characteristics of definitive curative effects and minor side-effects, but there are also many shortcomings, which require more in-depth research and exploration.

scholarly journals Signaling Potential Therapeutic Herbal Medicine Prescription for Treating COVID-19 by Collaborative Filtering

2021 ◽  
Vol 12 ◽  
Author(s):  
Fan Yang ◽  
Qi Zhang ◽  
Zhongshang Yuan ◽  
Saisai Teng ◽  
Lizhen Cui ◽  
...  
Keyword(s):  
Herbal Medicine ◽  
Collaborative Filtering ◽  
Domain Knowledge ◽  
Clinical Manifestations ◽  
Treatment Protocol ◽  
Syndrome Differentiation ◽  
Medicine Prescription ◽  
Syndrome Differentiation And Treatment ◽  
And Control ◽  
Filtering Approach

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has aggressed in more than 200 countries and territories since Dec 2019, and 30 million cases of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 have been reported, including 950,000 deaths. Supportive treatment remains the mainstay of therapy for COVID-19. There are no small-molecule–specific antiviral drugs available to prevent and treat COVID-19 until recently. Herbal medicine can facilitate syndrome differentiation and treatment according to the clinical manifestations of patients and has demonstrated effectiveness in epidemic prevention and control. The National Health Commission (NHC) of China has recommended “three TCM prescriptions and three medicines,” as a group of six effective herbal formulas against COVID-19 in the released official file “Diagnosis and Treatment Protocol for COVID-19 Patients: Herbal Medicine for the Priority Treatment of COVID-19.” This study aimed to develop a collaborative filtering approach to signaling drug combinations that are similar to the six herbal formulas as potential therapeutic treatments for treating COVID-19. The results have been evaluated by herbal medicine experts’ domain knowledge.

A Traditional Chinese Medicine Syndrome Classification Model based on Cross-FGCNN: Model Development and Validation (Preprint)

2021 ◽  
Author(s):  
Zonghai Huang ◽  
Ju Chen ◽  
Yanmei Zhong ◽  
Simin Yang ◽  
Yiyi Ma ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Model Development ◽  
Classification Model ◽  
Syndrome Differentiation ◽  
Traditional Chinese Medicine Syndrome ◽  
Nonlinear Features ◽  
Syndrome Differentiation And Treatment ◽  
Development And Validation ◽  
Multi Classification

UNSTRUCTURED Syndrome differentiation and treatment is the core of traditional Chinese medicine(TCM) in the treatment of diseases. TCM doctors can dialectically classify the syndrome according to the patients' symptoms and conduct treatment. Syndrome differentiation can be regarded as a mathematical model for multi-classification of different high-dimensional sparse symptom vectors. The FGCNN can quickly and effectively extract the nonlinear cross features of sparse vectors in the CTR task. On this basis, we selected the data of 5273 real cases of dysmenorrhea and divided the symptoms into field according to the four diagnosis of TCM, so as to construct an improved Cross-FGCNN model and apply it to the intelligent dialectics of TCM. We used 6 kinds of intelligent dialectical models and 3 kinds of CTR models as comparisons at the same time. Cross-FGCNN can achieve 96.21% accuracy and 0.836 Log-Loss, which is better than other models. We maintain that the model of Cross-FGCNN can automatically extract the linear and nonlinear features of symptoms and classify them, having great potential in the intelligent dialectics of TCM in the future.

scholarly journals Towards an Ontology-Based Decision Support System for Syndrome-Differentiation and Treatment of Psoriasis Vulgaris in Traditional Chinese Medicine

2020 ◽  
Author(s):  
Hai Long ◽  
Zhe Wang ◽  
Yidi Cui ◽  
Junhui Wang ◽  
Bo Gao ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Psoriasis Vulgaris ◽  
Domain Ontology ◽  
Approximate Reasoning ◽  
Syndrome Differentiation ◽  
Syndrome Differentiation And Treatment ◽  
Tcm Syndrome

Abstract Background: Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease, which is not curable and strongly declines the patients’ quality of life (QoL). However, diagnose and treatment in traditional Chinese medicine (TCM) based on syndrome differentiation has been used in practice for a long time and has also achieved some effect. Though, up to now, only few studies are available reporting on the use of semantic technologies and pertain to knowledge systems that use TCM-syndrome differentiation for information retrieval and automated reasoning. Nowadays, the diagnosis in TCM relies mainly on the personal expertise and clinical experience of the doctors. For various reasons, misdiagnoses or missed diagnoses cannot be completely excluded, leading to unexpected results.Methods: Firstly, we developed a domain ontology for syndrome differentiation of psoriasis vulgaris. For this purpose, we used the ontology editor Protégé and applied a top-down approach which adopts the framework of general formal ontology (GFO) and its middle-level core ontology GFO-TCM. Furthermore, we implement a prototype which is based on this ontology. Additionally, we also used a case-database for CBR (Case Based Reasoning) combined with fuzzy pattern recognition.Results: A prototype for diagnosis and treatment of psoriasis vulgaris, named ONTOPV-system, is proposed which is based on the principle of syndrome differentiation and treatment in TCM; this system realizes an expert-assisted decision support method which relies on a domain ontology, uses fuzzy logic reasoning, and case retrieval and is intended to support clinical diagnostic decisions for TCM practitioners.Conclusions: We designed and implemented a prototype for psoriasis diagnosis in terms of syndrome differentiation. The system can not only realize the basic functionalities of data collection, querying, browsing and navigation, but also support rule-based knowledge reasoning and customize approximate reasoning based on CBR through fuzzy logic, which can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis. In addition, it comprises a domain knowledge base of psoriasis, which is developed based on the GFO framework with good extensibility.

scholarly journals Research Progress of TCM Treatment of Uterine Fibroids

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Xiaoyu Lu ◽  
Xinjie Hu ◽  
Mei Chen
Keyword(s):  
Chinese Medicine ◽  
Side Effects ◽  
Traditional Chinese Medicine ◽  
Uterine Fibroids ◽  
Research Progress ◽  
Syndrome Differentiation ◽  
Benign Tumors ◽  
Syndrome Differentiation And Treatment

Uterine fibroids are the most common benign tumors in gynecology. Traditional Chinese medicine treats uterine fibroids according to syndrome differentiation and treatment. The treatment of uterine fibroids has the characteristics of definitive curative effects and minor side-effects, but there are also many shortcomings, which require more in-depth research and exploration.

scholarly journals The clinical application of a traditional Chinese medicine prescription issued by Professor Liangduo Jiang in the prevention of coronavirus disease 2019 (COVID-19)

2020 ◽  
Vol 03 (01) ◽  
pp. 65-69
Author(s):  
Jinfang Yao ◽  
Jian Yang ◽  
Zhenping Yu ◽  
Jinwei Chui ◽  
Simin Lee ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Prevention And Control ◽  
Close Contact ◽  
Clinical Manifestations ◽  
Preventive Treatment ◽  
Temperature Changes ◽  
Medicine Prescription ◽  
Chinese Medicine Prescription ◽  
And Control ◽  
Observation Period

Objective: To summarize the clinical experience of Professor Liangduo Jiang in the prevention and control of the new coronavirus disease COVID-19. Methods: Between January 2020 and February 2020, 87 subjects who have had contact with patients tested positive for COVID-19 in an isolated observation site in Tianjin were given the Chinese medicine prescription for prevention prescribed by Professor Liangduo Jiang continuously for three days. Their basic information, clinical manifestations and medication adherence were statistically analyzed, and the clinical manifestations, temperature changes and infection status after medication were summarized. Results: After the 14-day isolation observation period, only one patient who had close contact with confirmed patients developed a positive test for COVID-19 after taking the preventive Chinese medicine prescription, with the infection rate of 1.149%. Conclusion: The preventive treatment by Professor Liangduo Jiang is effective in the prevention and control of the epidemic.

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