The increasing prevalence of hypothyroidism,which can cause endocrine dysfunction,abnormal neurological function,and cardiovascular and cerebrovascular injuries,poses serious health problems.Thyroid hormone supplement...The increasing prevalence of hypothyroidism,which can cause endocrine dysfunction,abnormal neurological function,and cardiovascular and cerebrovascular injuries,poses serious health problems.Thyroid hormone supplementation constitutes the current main therapeutic method for hypothyroidism,yet it has many limitations and risks and is not suitable for everyone.Therefore,it is necessary to seek alternative and complementary treatment methods.It has been proven in practice that traditional Chinese medicine(TCM)possesses multi-channel comprehensive characteristics for the treatment of hypothyroidism and has more advantages than single thyroid hormone supplementation.Through a comprehensive examination of existing literature about TCM efficacy in addressing hypothyroidism,we have meticulously consolidated the most recent research findings on prescriptions and herbal substances employed in the treatment of this condition.Furthermore,we have explicated their respective functions in the management of hypothyroidism,thereby offering valuable perspectives and recommendations for the prospective utilization of natural remedies in its treatment.展开更多
Hosted by ChinaAssociation of Chinese Medicine,and organized by World Journal of Integrated traditional and western Medicine,seminar on clinical application of TCM classic prescriptions and herbs in the treatment of e...Hosted by ChinaAssociation of Chinese Medicine,and organized by World Journal of Integrated traditional and western Medicine,seminar on clinical application of TCM classic prescriptions and herbs in the treatment of emotional diseaseis planned to be held in Yichang,Hubei province from June 22nd to 24th.展开更多
Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used an...Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method.This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipfs law;Methods A total of 84,418 TCM prescriptions were collected and standardized.We tested whether Zipf's law and Zipfs distribution fit the Chinese herb distributions.A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law.Accordingly,the thresholds were obtained for the key TCM herbs.Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipfs law.展开更多
We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the d...We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the diversity of drug effects.Then,the corresponding research ideas and strategies are proposed.We can reveal the actual situation of clinical doses based on in-depth "real-world study" of the safety and effectiveness of TCM prescriptions,create an analytical method for dose-effect relationships in accordance with the features of TCM,and reveal the correlated regular nature of the effectiveness and dosage of TCM prescriptions and herbs.展开更多
Chinese medicine （CM） is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to...Chinese medicine （CM） is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study, we analyze CM formula data using latent tree （LT） models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.展开更多
Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to differen...Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to different diseases,symptoms and therapeutic goals.The correspondences are so complicated that there is an urgent need to leverage new technologies such as artificial intelligence(AI)to analyze,understand and utilize them effectively.In this paper,we present a brief overview of this direction,where current research progress on TCM prescription powered by AI is summarized.Our summarization focuses on three aspects,TCM prescription mining that aims at understanding the TCM prescription,TCM prescription or herb knowledge base construction that aims at extracting knowledge to support the TCM prescription-related study,and TCM prescription discovery that aims at utilizing AI technologies to further energize TCM.It is encouraging to see that steady progress in this direction has been made recently.Besides,a toy experiment on image-based TCM herb recognition by using convolutional neural networks is also conducted.It basically verifies that it is promising to use AI technologies to address challenging tasks in TCM.We also point out several research topics that could be cooperatively performed by researchers from the two disciplines.展开更多
文摘The increasing prevalence of hypothyroidism,which can cause endocrine dysfunction,abnormal neurological function,and cardiovascular and cerebrovascular injuries,poses serious health problems.Thyroid hormone supplementation constitutes the current main therapeutic method for hypothyroidism,yet it has many limitations and risks and is not suitable for everyone.Therefore,it is necessary to seek alternative and complementary treatment methods.It has been proven in practice that traditional Chinese medicine(TCM)possesses multi-channel comprehensive characteristics for the treatment of hypothyroidism and has more advantages than single thyroid hormone supplementation.Through a comprehensive examination of existing literature about TCM efficacy in addressing hypothyroidism,we have meticulously consolidated the most recent research findings on prescriptions and herbal substances employed in the treatment of this condition.Furthermore,we have explicated their respective functions in the management of hypothyroidism,thereby offering valuable perspectives and recommendations for the prospective utilization of natural remedies in its treatment.
文摘Hosted by ChinaAssociation of Chinese Medicine,and organized by World Journal of Integrated traditional and western Medicine,seminar on clinical application of TCM classic prescriptions and herbs in the treatment of emotional diseaseis planned to be held in Yichang,Hubei province from June 22nd to 24th.
文摘Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method.This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipfs law;Methods A total of 84,418 TCM prescriptions were collected and standardized.We tested whether Zipf's law and Zipfs distribution fit the Chinese herb distributions.A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law.Accordingly,the thresholds were obtained for the key TCM herbs.Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipfs law.
基金Supported by Scientific Research Special Project of TCM Profession (200907001E)Science and Technology Special Major Project for "Significant New Drugs Formulation"(2009ZX09301-005)
文摘We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the diversity of drug effects.Then,the corresponding research ideas and strategies are proposed.We can reveal the actual situation of clinical doses based on in-depth "real-world study" of the safety and effectiveness of TCM prescriptions,create an analytical method for dose-effect relationships in accordance with the features of TCM,and reveal the correlated regular nature of the effectiveness and dosage of TCM prescriptions and herbs.
基金Supported by Program of Beijing Municipal S&T Commission, China(No.D08050703020803,D08050703020804)China NSFC Project(No.90709006)+1 种基金National Key Technology R&D Program k(2007BA110B06)China 973 Project(No.2011CB505101)
文摘Chinese medicine （CM） is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study, we analyze CM formula data using latent tree （LT） models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.
基金the National Natural Science Foundation of China(No.2019YFC1710400,2019YFC1710404).
文摘Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to different diseases,symptoms and therapeutic goals.The correspondences are so complicated that there is an urgent need to leverage new technologies such as artificial intelligence(AI)to analyze,understand and utilize them effectively.In this paper,we present a brief overview of this direction,where current research progress on TCM prescription powered by AI is summarized.Our summarization focuses on three aspects,TCM prescription mining that aims at understanding the TCM prescription,TCM prescription or herb knowledge base construction that aims at extracting knowledge to support the TCM prescription-related study,and TCM prescription discovery that aims at utilizing AI technologies to further energize TCM.It is encouraging to see that steady progress in this direction has been made recently.Besides,a toy experiment on image-based TCM herb recognition by using convolutional neural networks is also conducted.It basically verifies that it is promising to use AI technologies to address challenging tasks in TCM.We also point out several research topics that could be cooperatively performed by researchers from the two disciplines.
