Traditional Chinese medicine （TCM） is a life science with original characteristics of our nation, which has its own advantages in facing modern medicine. As a clinical discipline with distinct characteristics of lif...Traditional Chinese medicine （TCM） is a life science with original characteristics of our nation, which has its own advantages in facing modern medicine. As a clinical discipline with distinct characteristics of life medical science, oncology is a typical discipline that combines the advantages of Chinese and Western medicine. TCM has two different cultural attributes, the humanities and the natural sciences. However, when confronted with such a serious disease as cancer, the approach of natural science of TCM should be emphasized to participate in anti-cancer practice.展开更多
Starting from the background and significance of the development and design of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine,this paper discusses...Starting from the background and significance of the development and design of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine,this paper discusses the teaching design scheme and module construction of the network course in the development process,and summarizes the design,production and construction experience of the network course.Through practice,the teaching effect and achievement of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine are obvious.展开更多
Background:Chinese minority traditional medicine(CMTM)is an important component of Chinese traditional culture and medicine that has contributed to the health and prosperity of Chinese people of all ethnic groups.Alth...Background:Chinese minority traditional medicine(CMTM)is an important component of Chinese traditional culture and medicine that has contributed to the health and prosperity of Chinese people of all ethnic groups.Although this type of medicine has attracted interest,its developmental trends and research status remain unclear.Therefore,we used literature metrology to evaluate the publications on CMTM during 2021 and explore hotspots and frontier areas.Methods:Reports associated with CMTM published between January 1,2021,and December 31,2021,were downloaded from the Web of Science database.The authors,institutions,countries,journals,keywords,and other standard bibliometric indicators were analyzed and visualized using CiteSpace,and research hotspots and trends were identified.Results:We retrieved 152 CMTM-related publications,among which Tibetan medicine attracted the most interest.Journals covering alternative and complementary medicine topics were the most prevalent sources of reports about CMTM,particularly the Journal of Ethnopharmacology.Most research in this field was conducted in China and frequently published by traditional Chinese medicine colleges and universities.One author,Yi Zhang,has extensively investigated Tibetan and Korean medicine.The keyword co-occurrence network revealed that investigations into ethnic groups mainly focused on the pharmacological activities and phytochemical components of ethnic medicines.The keywords of gut microbiota and autophagy in some publications reflect the direction of future CMTM investigations.Conclusion:Our findings showed the current status and trends in CMTM investigations.This information will help identify new research directions and hotspots in this field.展开更多
On behalf of the editorial team of World Journal of Traditional Chinese Medicine(WJTCM),we would like to convey our sincere gratitude to the great efforts of our editorial board members,referees,authors,readers and al...On behalf of the editorial team of World Journal of Traditional Chinese Medicine(WJTCM),we would like to convey our sincere gratitude to the great efforts of our editorial board members,referees,authors,readers and all the warmhearted supporters to contribute for the journal growth in the first year of its release in 2015.展开更多
Real-world clinical evaluation of traditional Chinese medicine(RWCE-TCM)is a method for comprehensively evaluating the clinical effects of TCM,with the aim of delving into the causality between TCM intervention and cl...Real-world clinical evaluation of traditional Chinese medicine(RWCE-TCM)is a method for comprehensively evaluating the clinical effects of TCM,with the aim of delving into the causality between TCM intervention and clinical outcomes.The study explored data science and causal learning methods to transform RWD into reliable real-world evidence,aiming to provide an innovative approach for RWCE-TCM.This study proposes a 10-step data science methodology to address the challenges posed by diverse and complex data in RWCE-TCM.The methodology involves several key steps,including data integration and warehouse building,high-dimensional feature selection,the use of interpretable statistical machine learning algorithms,complex networks,and graph network analysis,knowledge mining techniques such as natural language processing and machine learning,observational study design,and the application of artificial intelligence tools to build an intelligent engine for translational analysis.The goal is to establish a method for clinical positioning,applicable population screening,and mining the structural association of TCM characteristic therapies.In addition,the study adopts the principle of real-world research and a causal learning method for TCM clinical data.We constructed a multidimensional clinical knowledge map of“disease-syndrome-symptom-prescription-medicine”to enhance our understanding of the diagnosis and treatment laws of TCM,clarify the unique therapies,and explore information conducive to individualized treatment.The causal inference process of observational data can address confounding bias and reduce individual heterogeneity,promoting the transformation of TCM RWD into reliable clinical evidence.Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM.The proposed data science methodology for TCM can handle complex data,ensure high-quality RWD acquisition and analysis,and provide in-depth insights into clinical benefits of TCM.This method supports the intelligent translation and demonstration of RWD in TCM,leads the data-driven translational analysis of causal learning,and innovates the path of RWCE-TCM.展开更多
文摘Traditional Chinese medicine （TCM） is a life science with original characteristics of our nation, which has its own advantages in facing modern medicine. As a clinical discipline with distinct characteristics of life medical science, oncology is a typical discipline that combines the advantages of Chinese and Western medicine. TCM has two different cultural attributes, the humanities and the natural sciences. However, when confronted with such a serious disease as cancer, the approach of natural science of TCM should be emphasized to participate in anti-cancer practice.
基金the"13 th Five-year"Plan Project of Guangxi Educational Science(2017B089).
文摘Starting from the background and significance of the development and design of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine,this paper discusses the teaching design scheme and module construction of the network course in the development process,and summarizes the design,production and construction experience of the network course.Through practice,the teaching effect and achievement of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine are obvious.
基金supported by the National Natural Science Foundation of China(No.82104534)the National Key R&D Program of China(No.2017YFC1703900)+2 种基金the Social Science Popularization and Application Project of Shandong Province(No.2020-SKZZ-43)the Regional Innovation and Cooperation Project of the Science&Technology Department of Sichuan Province(No.2020YFQ0032)the Key R&D and Transformation Program of the Science&Technology Department of Qinghai Province(No.2020-SF-C33).
文摘Background:Chinese minority traditional medicine(CMTM)is an important component of Chinese traditional culture and medicine that has contributed to the health and prosperity of Chinese people of all ethnic groups.Although this type of medicine has attracted interest,its developmental trends and research status remain unclear.Therefore,we used literature metrology to evaluate the publications on CMTM during 2021 and explore hotspots and frontier areas.Methods:Reports associated with CMTM published between January 1,2021,and December 31,2021,were downloaded from the Web of Science database.The authors,institutions,countries,journals,keywords,and other standard bibliometric indicators were analyzed and visualized using CiteSpace,and research hotspots and trends were identified.Results:We retrieved 152 CMTM-related publications,among which Tibetan medicine attracted the most interest.Journals covering alternative and complementary medicine topics were the most prevalent sources of reports about CMTM,particularly the Journal of Ethnopharmacology.Most research in this field was conducted in China and frequently published by traditional Chinese medicine colleges and universities.One author,Yi Zhang,has extensively investigated Tibetan and Korean medicine.The keyword co-occurrence network revealed that investigations into ethnic groups mainly focused on the pharmacological activities and phytochemical components of ethnic medicines.The keywords of gut microbiota and autophagy in some publications reflect the direction of future CMTM investigations.Conclusion:Our findings showed the current status and trends in CMTM investigations.This information will help identify new research directions and hotspots in this field.
文摘On behalf of the editorial team of World Journal of Traditional Chinese Medicine(WJTCM),we would like to convey our sincere gratitude to the great efforts of our editorial board members,referees,authors,readers and all the warmhearted supporters to contribute for the journal growth in the first year of its release in 2015.
基金This work was funded by the scientific and technological innovation project of China Academy of Chinese Medical Sciences(CI2021A04706,CI2021B003)the National Key Research and Development Program of China(2023YFC3503404,2017YFC1700406-2,2018YFC1704306)the independent selection project of China Academy of Chinese Medical Sciences(Z0643,Z0723).
文摘Real-world clinical evaluation of traditional Chinese medicine(RWCE-TCM)is a method for comprehensively evaluating the clinical effects of TCM,with the aim of delving into the causality between TCM intervention and clinical outcomes.The study explored data science and causal learning methods to transform RWD into reliable real-world evidence,aiming to provide an innovative approach for RWCE-TCM.This study proposes a 10-step data science methodology to address the challenges posed by diverse and complex data in RWCE-TCM.The methodology involves several key steps,including data integration and warehouse building,high-dimensional feature selection,the use of interpretable statistical machine learning algorithms,complex networks,and graph network analysis,knowledge mining techniques such as natural language processing and machine learning,observational study design,and the application of artificial intelligence tools to build an intelligent engine for translational analysis.The goal is to establish a method for clinical positioning,applicable population screening,and mining the structural association of TCM characteristic therapies.In addition,the study adopts the principle of real-world research and a causal learning method for TCM clinical data.We constructed a multidimensional clinical knowledge map of“disease-syndrome-symptom-prescription-medicine”to enhance our understanding of the diagnosis and treatment laws of TCM,clarify the unique therapies,and explore information conducive to individualized treatment.The causal inference process of observational data can address confounding bias and reduce individual heterogeneity,promoting the transformation of TCM RWD into reliable clinical evidence.Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM.The proposed data science methodology for TCM can handle complex data,ensure high-quality RWD acquisition and analysis,and provide in-depth insights into clinical benefits of TCM.This method supports the intelligent translation and demonstration of RWD in TCM,leads the data-driven translational analysis of causal learning,and innovates the path of RWCE-TCM.
