Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medi...Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medicine of the Ming Dynasty(1368-1644).The Orthodox Lineage of External Medicine(Wai Ke Zheng Zong)written by him has been valued as the founder of the TCM Orthodox School of External Medicine.展开更多
A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with ...A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with China-began in 1988,when I traveled to Beijing with my two-year-old son Joan.He was suffering from an extremely rare disease called leukoencephalopathy,in which the brain is affected,and we wanted to explore treatment possibilities.展开更多
本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容...本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容、推广应用和实施效益等几方面特征的综合评价工具。文中详述了SCORE-TCM的构建目的、定义和构建过程,解释了评价指标体系中的各项指标,并对每项指标的评价材料进行介绍。本文旨在帮助中医药团体标准的制定者、第三方评价机构和其他相关方更好地理解SCORE-TCM各评价条目的含义,更有效地运用于中医药团体标准的自评价或第三方评价,SCORE-TCM将为《中医药团体标准管理办法》的贯彻实施,以及中医药团体标准的高质量发展提供技术支持。展开更多
Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry poin...Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning.Audio features were extracted from voice recordings in the TCM pulse condition dataset.The obtained features were combined with information from tongue and facial diagnoses.A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation,and the modeling methods were validated using publicly available datasets.Results: The analysis showed that the proposed method achieved an accuracy of 92.59%on the public dataset.The accuracies of the three single-label pulse manifestation models in the test set were 94.27%,96.35%,and 95.39%.The absolute accuracy of the multi-label model was 92.74%.Conclusion: Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.展开更多
1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount o...1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount of literature and scholarly works in this field makes it essential to thoroughly study the history of traditional Chinese medicine(TCM)in order to understand its development path throughout the ages and boost innovation based on tradition.This is why the sages emphasized the importance of“classifying the works into different schools and tracing back to their origins”(辨章学术,考镜源流).展开更多
This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further d...This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further development of COPD rehabilitation program.展开更多
The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975...The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975,he graduated from the Macao Institute of Chinese Medicine,Macao,China.After returning to the West,Ted taught Chinese medicine throughout the States,Europe,Latin America,and Australia.Ted’s book,The Web that Has No Weaver:Understanding Chinese Medicine is a groundbreaking explanation of East Asian medicine that continues to shape the discourse of the Chinese medicine profession in the West and has been translated into 13 languages.In 1990,Ted was recruited in Harvard Medical School to help research Chinese medicine.After encountering high placebo responses in multiple acupuncture clinical trials,Ted decided to switch his career to primarily studying placebo.He has published over 300 peer-reviewed articles.He has been awarded the Lifetime Achievement Award from the Society of Acupuncture Research(2015),the Lifetime Achievement Award from the Society for Interdisciplinary Placebo Studies(2021),and the William Silen Lifetime Achievement Award in Mentoring from Harvard Medical School(2022).展开更多
Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper ...Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper provides recommendations to boost TCM development through standardization.展开更多
Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset conta...Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).展开更多
“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional ...“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional Chinese Medicine Industry Exchange and Promotion Conference in Taiyuan,Shanxi Province,on July 26.“Over the past two years,more than 20,000 Cambodians have received TCM treatment.”展开更多
文摘Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medicine of the Ming Dynasty(1368-1644).The Orthodox Lineage of External Medicine(Wai Ke Zheng Zong)written by him has been valued as the founder of the TCM Orthodox School of External Medicine.
文摘A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with China-began in 1988,when I traveled to Beijing with my two-year-old son Joan.He was suffering from an extremely rare disease called leukoencephalopathy,in which the brain is affected,and we wanted to explore treatment possibilities.
文摘本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容、推广应用和实施效益等几方面特征的综合评价工具。文中详述了SCORE-TCM的构建目的、定义和构建过程,解释了评价指标体系中的各项指标,并对每项指标的评价材料进行介绍。本文旨在帮助中医药团体标准的制定者、第三方评价机构和其他相关方更好地理解SCORE-TCM各评价条目的含义,更有效地运用于中医药团体标准的自评价或第三方评价,SCORE-TCM将为《中医药团体标准管理办法》的贯彻实施,以及中医药团体标准的高质量发展提供技术支持。
基金supported by Fundamental Research Funds from the Beijing University of Chinese Medicine(2023-JYB-KYPT-13)the Developmental Fund of Beijing University of Chinese Medicine(2020-ZXFZJJ-083).
文摘Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning.Audio features were extracted from voice recordings in the TCM pulse condition dataset.The obtained features were combined with information from tongue and facial diagnoses.A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation,and the modeling methods were validated using publicly available datasets.Results: The analysis showed that the proposed method achieved an accuracy of 92.59%on the public dataset.The accuracies of the three single-label pulse manifestation models in the test set were 94.27%,96.35%,and 95.39%.The absolute accuracy of the multi-label model was 92.74%.Conclusion: Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.
基金financed by the grant from Beijing Social Science(No. 18LSB002)。
文摘1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount of literature and scholarly works in this field makes it essential to thoroughly study the history of traditional Chinese medicine(TCM)in order to understand its development path throughout the ages and boost innovation based on tradition.This is why the sages emphasized the importance of“classifying the works into different schools and tracing back to their origins”(辨章学术,考镜源流).
基金Supported by Special Research Project of Science and Technology Bureau of Nanchong City,Sichuan Province"Effects of TCM Nursing Based on Syndrome Differentiation on Pulmonary Function and Quality of Life in Patients with Acute Exacerbation of COPD" (22YYJCYJ0057).
文摘This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further development of COPD rehabilitation program.
文摘The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975,he graduated from the Macao Institute of Chinese Medicine,Macao,China.After returning to the West,Ted taught Chinese medicine throughout the States,Europe,Latin America,and Australia.Ted’s book,The Web that Has No Weaver:Understanding Chinese Medicine is a groundbreaking explanation of East Asian medicine that continues to shape the discourse of the Chinese medicine profession in the West and has been translated into 13 languages.In 1990,Ted was recruited in Harvard Medical School to help research Chinese medicine.After encountering high placebo responses in multiple acupuncture clinical trials,Ted decided to switch his career to primarily studying placebo.He has published over 300 peer-reviewed articles.He has been awarded the Lifetime Achievement Award from the Society of Acupuncture Research(2015),the Lifetime Achievement Award from the Society for Interdisciplinary Placebo Studies(2021),and the William Silen Lifetime Achievement Award in Mentoring from Harvard Medical School(2022).
文摘Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper provides recommendations to boost TCM development through standardization.
基金National Key Research and Development Program(2023YFC3502604)National Natural Science Foundation of China(U23B2062 and 82374302).
文摘Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).
文摘“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional Chinese Medicine Industry Exchange and Promotion Conference in Taiyuan,Shanxi Province,on July 26.“Over the past two years,more than 20,000 Cambodians have received TCM treatment.”
