Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesi...Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesics,including opioids and nonsteroidal anti-inflammatory drugs,are often limited by their insufficient efficacy,tolerance,and risk of dependence.Traditional Chinese Medicine(TCM),characterized by its multi-component,multi-target,and systemic regulatory properties,has shown promising potential in cancer pain management.This review provides a comprehensive overview of the clinical classification and underlying mechanisms of cancer pain(including nerve infiltration,dysregulation of inflammatory mediators and ion channels,central sensitization,neuro-immune crosstalk,metabolic reprogramming,and gut-brain axis impairment),as well as the analgesic effects of representative TCM agents in cancer pain management.For example,bioactive components such as tetrahydroberberine,levo-tetrahydropalmatine,and piperine exert analgesic effects,thereby improving the quality of life of patients by inhibiting inflammatory cascades,regulating neurotransmitter systems,and preserving neural integrity.Commonly used preclinical models,including bone cancer pain,pancreatic cancer pain,and chemotherapy-induced peripheral neuropathy models,are summarized for their utility in mechanistic studies and efficacy evaluations.This review also discusses the current limitations of clinical evidence,such as small sample sizes,short follow-up periods,and limited translation from animal models,alongside major challenges in standardization,mechanistic elucidation,and clinical trial design.Future directions should focus on precise pain phenotyping,integrated multi-target interventions,rigorous efficacy safety validation,and innovations in drug delivery to facilitate the standardization and global adoption of TCM in cancer pain management.展开更多
Editorial Policy Asian Journal of Traditional Medicines is an international journal devoted to the advancement of research on traditional medicines.The followed areas are covered:scientific and technological developme...Editorial Policy Asian Journal of Traditional Medicines is an international journal devoted to the advancement of research on traditional medicines.The followed areas are covered:scientific and technological developments and research achievements in the fields of traditional medicine resources,medicinal material processing,pharmacognosy,natural medicinal chemistry,quality control,pharmacology,pharmacy,and clinical efficacy.展开更多
Background:Cyperi Rhizoma,derived from Cyperus rotundus L.,is a widely used medicinal herb in traditional Chinese medicine(TCM),with Shandong Province recognized as its geo-authentic habitat.However,the quality of Cyp...Background:Cyperi Rhizoma,derived from Cyperus rotundus L.,is a widely used medicinal herb in traditional Chinese medicine(TCM),with Shandong Province recognized as its geo-authentic habitat.However,the quality of Cyperi Rhizoma varies significantly across different regions,potentially influencing its therapeutic efficacy.This study investigates the influence of geographic origin on the chemical composition and overall quality of Cyperi Rhizoma.Methods:A comprehensive approach,including traditional quality assessment,GC-MS(g as c hromatography-m ass s pectrometry),RP-HPLC(r everse p hase h igh-p erformance l iquid c hromatography),and FT-IR(f ourier t ransform i nfrared s pectroscopy)techniques,was employed to analyze Cyperi Rhizoma samples from Shandong Province.These methods examined the physical appearance,chemical profile,and content variations,particularly focusing onα-cyperone.Results:Traditional quality assessments revealed noticeable differences in the external characteristics of the samples.GC-MS analysis identified a variety of unique chemical constituents,while RP-HPLC and FT-IR showed significant variations inα-cyperone content,with higher levels found in Shandong samples.Conclusion:These results demonstrate that geographic origin is a critical determinant of Cyperi Rhizoma quality,with Shandong specimens exhibiting superiorα-cyperone levels and characteristic phytochemical profiles.This validates the geo-authenticity concept in TCM and provides actionable data for developing evidence-based quality standards,suggesting that provenance should be prioritized in medicinal material selection and pharmacopeial specifications.展开更多
The global prevalence of metabolic-associated fatty liver disease(MAFLD)is on the rise,seriously threatening human health.Currently,no specific approved drugs are available for its treatment.This paper reviews the pat...The global prevalence of metabolic-associated fatty liver disease(MAFLD)is on the rise,seriously threatening human health.Currently,no specific approved drugs are available for its treatment.This paper reviews the pathogenesis of MAFLD,covering aspects like lipid accumulation and insulin resistance,oxidative stress,endoplasmic reticulum stress(ERS),lipotoxicity-induced hepatocyte damage,and fibrosis.It also elaborates on multiple treatment approaches for MAFLD,including metabolic regulation,improvement of the gut-liver axis interaction,modulation of immune and inflammatory pathways,enhancement of the adipose tissue-liver interaction,alleviation of fibrosis,prevention of hepatocyte injury,and traditional Chinese medicine(TCM)external therapies.Additionally,natural product research advancements,individual Chinese medicine components,and mixed herbal formulas for MAFLD treatment is provided.Many natural products and traditional Chinese medicines exhibit favorable effects in regulating lipid metabolism,anti-inflammation,and anti-oxidation,offering new directions and potential drug options for MAFLD treatment.This is expected to provide a reference for future clinical treatment and drug development.展开更多
Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating th...Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating this condition.Nevertheless,considering the vast amount of research that is currently being conducted,focusing on the utilization of TCM in the management of myopia,there is an urgent requirement for a thorough and comprehensive review.The review would serve to clarify the practical applications of TCM within this specific field,and it would also aim to elucidate the underlying mechanisms that are at play,providing a deeper understanding of how TCM principles can be effectively integrated into modern medical practices.Here,some modern medical pathogenesis of myopia and appropriate TCM techniques studies are summarized in the prevention and treatment of myopia.Further,we discussed the potential mechanisms and the future research directions of TCM against myopia.Identifying these mechanisms is crucial for understanding how TCM can be effectively utilized in this context.The combination of various TCM methods or the combination of traditional Chinese and Western medicine is of great significance for the prevention and control of myopia in the future.展开更多
Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal ...Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal medications,such as loperamide and octreotide,is relatively limited because of their unsatisfactory efficacy and adverse effects.In recent years,traditional Chinese medicine(TCM)has attracted great interest because of its beneficial effect in treating CID,which has multitarget and low-toxicity therapeutic characteristics.TCM exhibits remarkable therapeutic potential in the prevention and treatment of CID.It can alleviate and treat CID by regulating chemical drug metabolism,improving the integrity of the intestinal barrier,stimulating proliferation while suppressing the apoptosis of intestinal epithelial cells,ameliorating oxidative stress and inflammation and regulating bile acids and aquaporins.However,large-scale,randomized,double-blind clinical trials of TCM for the treatment of CID are lacking,and most preclinical experiments have not been translated to clinical trials.Accordingly,this review highlights the clinical efficacy and molecular mechanisms of TCM against CID via PubMed,Web of Science and China National Knowledge Infrastructure and proposes that future research on TCM against CID should focus on strengthening the connection from bench to bed,which may help to comprehensively evaluate the therapeutic potential of TCM against CID.展开更多
Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish ...Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.展开更多
Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogen...Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogenesis owing to their multi-component and multi-target properties.This review focuses on the mechanisms of action of TCM monomers(e.g.,curcumin,tanshinone IIA,and ginsenoside)through the modulation of key pathways,such as HIF-1α,VEGF/VEGFRs,and Notch signaling,and explores their modulatory effects on the tumor microenvironment(e.g.,tumor-associated macrophage polarization).Despite the low toxicity and multi-targeting advantages of TCM,their clinical translation is still limited by low bioavailability and standardization difficulties.In this review,we further analyze the role of modern approaches,such as nanocarriers(liposomes,polymer nanoparticles,metal-coordinated nanomaterials,and plant exosome-like vesicles),in overcoming these bottlenecks and propose a strategy of combining TCM with chemotherapy,radiotherapy,and immunotherapy to overcome drug resistance and enhance therapeutic efficacy.By integrating traditional wisdom with cutting-edge technologies,anti-angiogenesis research in TCM is expected to contribute to the development of safer and more effective individualised cancer treatment.展开更多
Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in t...Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in targeting this mechanism. Evidence from human and animal models of heart failure indicates that TCM can restore mitochondrial function by regulating mitochondrial Ca^(2+) homeostasis, oxidative stress, energy metabolism, mitochondrial dynamics, and mitophagy. TCM-based treatment of CHF offers notable clinical advantages, including improved therapeutic efficacy, enhanced cardiac function, and reduced incidence of major cardiovascular events. Experimental studies demonstrate that TCM decoctions and monomers modulate signaling pathways such as PPAR–RXRα, NF-κB, and PI3K/AKT to alleviate oxidative stress. TCM also increases AMPK activity via phosphorylation of PGC-1α, indirectly promoting mitochondrial biogenesis;attenuates calcium influx and enhances Ca^(2+) reuptake, thereby ameliorating myocardial mitochondrial dysfunction in CHF;and improves CHF by rebalancing mitochondrial dynamics and autophagy.展开更多
Serbisütherapy(ST)is a distinctive external treatment modality within traditional Mongolian medicine(TMM),historically developed within a nomadic cultural framework.This study presents a comprehensive philologica...Serbisütherapy(ST)is a distinctive external treatment modality within traditional Mongolian medicine(TMM),historically developed within a nomadic cultural framework.This study presents a comprehensive philological and historical analysis of ST,tracing its evolution from early battlefield applications to contemporary clinical use.By critically examining classical Mongolian medical texts alongside modern case studies,we aim to systematize ST’s therapeutic methods,indications,and limitations,while exploring its mechanisms of action through both traditional theory and modern biomedical perspectives.ST has undergone significant transformation,shifting from whole-body cavity immersion in the 13th century to targeted,organ-specific applications in modern practice.Its four primary methods–Covering,Mounted,Organ Placement,and Suction–demonstrate efficacy in treating cold-natured diseases,musculoskeletal disorders,gynecological conditions,and certain emergencies.ST embodies the core principles of TMM,particularly the balance of the“Three Roots”and the correction of cold-induced pathologies through heat.Despite challenges related to standardization,cultural translation,and regulatory acceptance,ST holds translational potential for integrative medicine.Future research should prioritize mechanistic validation,clinical standardization,and the development of biocompatible thermal technologies to bridge traditional practice with modern healthcare systems.展开更多
When one steps inside Caoxian's Youai Cloud Warehouse,a livestreaming base dedicated to hanfu,it feels less like a clothing warehouse and more like a time capsule.Thousands of intricately embroidered garments line...When one steps inside Caoxian's Youai Cloud Warehouse,a livestreaming base dedicated to hanfu,it feels less like a clothing warehouse and more like a time capsule.Thousands of intricately embroidered garments line the racks-from elegant horseface skirts to modernized editions of traditional Chinese clothing.On one side,livestreamers dressed in hanfu smile at their smartphone cameras,twirling for their online audiences while the chime of incoming orders punctuates the air.Behind them,visitors run their hands over organza fabrics,marvelling at the fusion of ageold craftsmanship and contemporary taste.展开更多
Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understandi...Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understanding how best to preserve,build on its remarkable achievements,and develop its intellectual legacy.Critics such as Schumpeter and Taylor have long argued that the economic reasoning found in ancient China cannot compare with that of classical Greece or medieval Europe.Yet this view often reflects the narrow assumptions of mainstream economics,defining analysis almost entirely in terms of market exchange.As a result,it tends to overlook traditions built around statecraft,governance,and the management of economic order.A careful re-examination and Sino-Western comparative analysis of key thinkers-including Mencius,Guanzi,and Sima Qian-tells a different story.Rooted in China’s distinctive cultural and philosophical heritage,traditional Chinese economic thought not only contains the analytical dimensions(as defined by Schumpeter)but also displays a broader and more diverse set of economic reasoning.Notably,its systematic depth and intellectual precision were,in many respects,remarkably advanced.Therefore,advancing the construction of a Chinese school of economics in the new era under the framework of the“Second Integration”,i.e.,integrating the basic tenets of Marxism with China’s fine traditional culture,should,and indeed can draw essential insights from this analytical tradition.展开更多
In the year 2026,the world cultural exchanges will continue to develop,while the international public opinion environment remainsdive rseand complex.Looking back at this pivotal moment in history,the life journey of S...In the year 2026,the world cultural exchanges will continue to develop,while the international public opinion environment remainsdive rseand complex.Looking back at this pivotal moment in history,the life journey of Sunny Wu,Chairman of the Hong Kong Doyens’Club,resonates perfectly with the national development.展开更多
Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The ...Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The distribution pattern of traditional Chinese medicine(TCM)syndromes in this patient population,as well as its association with blood lipid profiles and clinical prognosis,remains unclear.The present prospective cohort study aims to investigate these correlations,thereby providing insights to enrich the research fields.Methods We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1,2020 and December 31,2022.Demographics and clinical characteristics,signs and symptoms defining each TCM syndrome,and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events(MACEs).We analyzed the correlation between TCM syndromes,blood lipid profiles,and MACEs,and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression.The analyses were based on detailed baseline and one-year follow-up data.Results A per-protocol analysis was performed on 586 patients with complete data ultimately.During the one-year follow-up,174 patients(29.69%)experienced a MACE.We performed statistical analyses on comorbidities,medication,and biochemical indicators across groups defined by TCM syndrome differentiation.When comparing different TCM syndromes,no significant differences were found in age,body mass index(BMI),history of revascularization,comorbidities,family history of CVD,smoking or drinking,or statin intensity(P>0.05).Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol(TC,5.27±1.18 mmol/L,P<0.001),triglyceride(TG,1.96±1.33 mmol/L,P=0.008),low-density lipoprotein cholesterol(LDL-C,3.35±0.79 mmol/L,P<0.001),and high-density lipoprotein cholesterol(HDL-C,1.24±0.81 mmol/L,P<0.001)compared with those with other TCM syndromes combined.A multivariable logistic regression model was constructed to predict MACEs.The model included TCM syndrome type[with intertwined phlegm and blood stasis as a predictor,adjusted odds ratio(OR)=1.413,95%confidence interval(CI):0.517–3.864,P=0.501],age(adjusted OR=0.97,95%CI:0.955–1.001,P=0.057),male gender(adjusted OR=0.698,95%CI:0.416–1.170,P=0.173),TC(adjusted OR=1.004,95%CI:0.513–1.965,P=0.990),and LDL-C(adjusted OR=5.825,95%CI:2.214–15.326,P<0.001).This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients[the area under the receiver operating characteristic(ROC)curve(AUC)=0.865,95%CI:0.816–0.914].Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C.The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters(TC and LDL-C)shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI,underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.展开更多
《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、韩国...《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、韩国、新加坡等东南亚国家以及欧美各国。展开更多
《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,中国香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、...《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,中国香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、韩国、新加坡等东南亚国家以及欧美各国。展开更多
Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cros...Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods.Methods The fundus multi-label classification dataset with 12 disease categories(FMLC-12)dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition(ODIR)and Retinal Fundus Multi-Disease Image Dataset(RFMiD),yielding 6936 fundus images across 12 retinal pathology categories,and the framework was validated on both FMLC-12 and ODIR.Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine(TCM)ophthalmology,the dualbranch multi-label network(DBMNet)was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling.The architecture employed a TransNeXt backbone within a dual-branch design:one branch processed redgreen-blue(RGB)images to capture color-dependent features,such as vascular patterns and lesion morphology,while the other processed grayscale-converted images to enhance subtle textural details and contrast variations.A feature interaction module(FIM)effectively integrated the multi-scale features from both branches.Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM.The performance of DBMNet was compared against four state-of-the-art methods,including EfficientNet Ensemble,transfer learning-based convolutional neural network(CNN),BFENet,and EyeDeep-Net,using mean average precision(mAP),F1-score,and Cohen's kappa coefficient.Results The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline,increasing from 34.41%to 44.24%,and the addition of FIM further boosted mAP to 49.85%.On FMLC-12,DBMNet achieved an mAP of 49.85%,a Cohen’s kappa coefficient of 62.14%,and an F1-score of 70.21%.Compared with BFENet(mAP:45.42%,kappa:46.64%,F1-score:71.34%),DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa,while BFENet achieved a marginally higher F1-score.On ODIR,DBMNet achieved an F1-score of 85.50%,comparable to state-of-the-art methods.Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture,significantly improving multi-label fundus disease classification.The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases,providing a promising and clinically applicable pathway for standardized,intelligent fundus disease classification.展开更多
Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P...Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.展开更多
Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal ...Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal materials promotes the inheritance and innovation of traditional Chinese medicine,and contributes to rural revitalization and the building of an agricultural power.This article provides an overview of the traditional Chinese medicinal materials in Hubei Province.It conducts a detailed investigation into the intellectual property resources of the province s traditional Chinese medicinal materials from aspects such as traditional knowledge,genetic resources,new plant varieties,patents,geographical indications,and trademarks.It analyzes the eight main problems in the protection,inheritance,and innovative development of intellectual property rights,and puts forward corresponding suggestions,such as establishing an intellectual property rights rule system for specific fields of traditional Chinese medicinal materials,promoting the"Famous Brand Action in Rural Areas",and building a"Hubei s Sixteen Superior Herbs"cluster of traditional Chinese medicinal materials.展开更多
Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standa...Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standardize diagnostic processes and prescription generation.Methods Two primary datasets were constructed:an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge,medical records,and chain-ofthought(CoT)reasoning datasets.After an initial evaluation of 16 open-source LLMs across inference time,accuracy,and output quality,Qwen2.5 was selected as the base model due to its superior overall performance.We then employed a two-stage low-rank adaptation(LoRA)fine-tuning strategy,integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records.This approach was designed to embed the clinical logic(symptoms→pathogenesis→therapeutic principles→prescriptions)into the model’s reasoning capabilities.The resulting fine-tuned model,specialized for TCM diarrhea,was designated as Qwen-TCM-Dia.Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy,precision,recall,and F1-score.Furthermore,the quality of the generated prescriptions was compared with that of established open-source TCM LLMs.Results Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs.It achieved 97.05%accuracy and 91.48%F1-score in disease diagnosis,and 74.54%accuracy and 74.21%F1-score in syndrome type differentiation.Compared with existing open-source TCM LLMs(BianCang,HuangDi,LingDan,TCMLLM-PR,and ZhongJing),Qwen-TCM-Dia exhibited higher fidelity in reconstructing the“symptoms→pathogenesis→therapeutic principles→prescriptions”logic chain.It provided complete prescriptions,whereas other models often omitted dosages or generated mismatched prescriptions.Conclusion By integrating continued pre-training,CoT reasoning,and a two-stage fine-tuning strategy,this study establishes a CDPGS for diarrhea in TCM.The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT.This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.展开更多
基金supported by the National Natural Science Foundation of China(No.82360238,82071245)。
文摘Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesics,including opioids and nonsteroidal anti-inflammatory drugs,are often limited by their insufficient efficacy,tolerance,and risk of dependence.Traditional Chinese Medicine(TCM),characterized by its multi-component,multi-target,and systemic regulatory properties,has shown promising potential in cancer pain management.This review provides a comprehensive overview of the clinical classification and underlying mechanisms of cancer pain(including nerve infiltration,dysregulation of inflammatory mediators and ion channels,central sensitization,neuro-immune crosstalk,metabolic reprogramming,and gut-brain axis impairment),as well as the analgesic effects of representative TCM agents in cancer pain management.For example,bioactive components such as tetrahydroberberine,levo-tetrahydropalmatine,and piperine exert analgesic effects,thereby improving the quality of life of patients by inhibiting inflammatory cascades,regulating neurotransmitter systems,and preserving neural integrity.Commonly used preclinical models,including bone cancer pain,pancreatic cancer pain,and chemotherapy-induced peripheral neuropathy models,are summarized for their utility in mechanistic studies and efficacy evaluations.This review also discusses the current limitations of clinical evidence,such as small sample sizes,short follow-up periods,and limited translation from animal models,alongside major challenges in standardization,mechanistic elucidation,and clinical trial design.Future directions should focus on precise pain phenotyping,integrated multi-target interventions,rigorous efficacy safety validation,and innovations in drug delivery to facilitate the standardization and global adoption of TCM in cancer pain management.
文摘Editorial Policy Asian Journal of Traditional Medicines is an international journal devoted to the advancement of research on traditional medicines.The followed areas are covered:scientific and technological developments and research achievements in the fields of traditional medicine resources,medicinal material processing,pharmacognosy,natural medicinal chemistry,quality control,pharmacology,pharmacy,and clinical efficacy.
基金supported by the National Natural Science Foundation of China(No.82204610)Qihang Talent Program(L2022046)+1 种基金the Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences(CI2021A04013)Fundamental Research Funds for the Central Public Welfare Research Institutes(ZZ15-YQ-041 and L2021029).
文摘Background:Cyperi Rhizoma,derived from Cyperus rotundus L.,is a widely used medicinal herb in traditional Chinese medicine(TCM),with Shandong Province recognized as its geo-authentic habitat.However,the quality of Cyperi Rhizoma varies significantly across different regions,potentially influencing its therapeutic efficacy.This study investigates the influence of geographic origin on the chemical composition and overall quality of Cyperi Rhizoma.Methods:A comprehensive approach,including traditional quality assessment,GC-MS(g as c hromatography-m ass s pectrometry),RP-HPLC(r everse p hase h igh-p erformance l iquid c hromatography),and FT-IR(f ourier t ransform i nfrared s pectroscopy)techniques,was employed to analyze Cyperi Rhizoma samples from Shandong Province.These methods examined the physical appearance,chemical profile,and content variations,particularly focusing onα-cyperone.Results:Traditional quality assessments revealed noticeable differences in the external characteristics of the samples.GC-MS analysis identified a variety of unique chemical constituents,while RP-HPLC and FT-IR showed significant variations inα-cyperone content,with higher levels found in Shandong samples.Conclusion:These results demonstrate that geographic origin is a critical determinant of Cyperi Rhizoma quality,with Shandong specimens exhibiting superiorα-cyperone levels and characteristic phytochemical profiles.This validates the geo-authenticity concept in TCM and provides actionable data for developing evidence-based quality standards,suggesting that provenance should be prioritized in medicinal material selection and pharmacopeial specifications.
基金supported by the National Natural Science Foundation of China(82574477)the Jiangsu Provincial Traditional Chinese Medicine Science and Technology Development Plan(QN202426)+5 种基金Jiangsu Province“333 High-level Talents Training Project”((2024)3-0189)Youth Talent Support Project of the Jiangsu Association for Science and Technology(TJ-2023-053)Shanxi Provincial Department-Municipal Key Laboratory Cultivation Base for Quality Enhancement and Utilization of Shangdang Chinese Medicinal Materials(KF202401)Fundamental Research Program of Shanxi Province(202403021221211)the research project supported by the Shanxi Scholarship Council of China(No.2023-158)Open Project of Key Laboratory of Tibetan Medicine Basic Research,Ministry of Education.
文摘The global prevalence of metabolic-associated fatty liver disease(MAFLD)is on the rise,seriously threatening human health.Currently,no specific approved drugs are available for its treatment.This paper reviews the pathogenesis of MAFLD,covering aspects like lipid accumulation and insulin resistance,oxidative stress,endoplasmic reticulum stress(ERS),lipotoxicity-induced hepatocyte damage,and fibrosis.It also elaborates on multiple treatment approaches for MAFLD,including metabolic regulation,improvement of the gut-liver axis interaction,modulation of immune and inflammatory pathways,enhancement of the adipose tissue-liver interaction,alleviation of fibrosis,prevention of hepatocyte injury,and traditional Chinese medicine(TCM)external therapies.Additionally,natural product research advancements,individual Chinese medicine components,and mixed herbal formulas for MAFLD treatment is provided.Many natural products and traditional Chinese medicines exhibit favorable effects in regulating lipid metabolism,anti-inflammation,and anti-oxidation,offering new directions and potential drug options for MAFLD treatment.This is expected to provide a reference for future clinical treatment and drug development.
基金supported by Healthy China initiative of Traditional Chinese Medicine(No.889042).
文摘Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating this condition.Nevertheless,considering the vast amount of research that is currently being conducted,focusing on the utilization of TCM in the management of myopia,there is an urgent requirement for a thorough and comprehensive review.The review would serve to clarify the practical applications of TCM within this specific field,and it would also aim to elucidate the underlying mechanisms that are at play,providing a deeper understanding of how TCM principles can be effectively integrated into modern medical practices.Here,some modern medical pathogenesis of myopia and appropriate TCM techniques studies are summarized in the prevention and treatment of myopia.Further,we discussed the potential mechanisms and the future research directions of TCM against myopia.Identifying these mechanisms is crucial for understanding how TCM can be effectively utilized in this context.The combination of various TCM methods or the combination of traditional Chinese and Western medicine is of great significance for the prevention and control of myopia in the future.
基金supported by the Innovative Team Project of Ordinary Universities in Guangdong Province(No.2022KCXTD016).
文摘Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal medications,such as loperamide and octreotide,is relatively limited because of their unsatisfactory efficacy and adverse effects.In recent years,traditional Chinese medicine(TCM)has attracted great interest because of its beneficial effect in treating CID,which has multitarget and low-toxicity therapeutic characteristics.TCM exhibits remarkable therapeutic potential in the prevention and treatment of CID.It can alleviate and treat CID by regulating chemical drug metabolism,improving the integrity of the intestinal barrier,stimulating proliferation while suppressing the apoptosis of intestinal epithelial cells,ameliorating oxidative stress and inflammation and regulating bile acids and aquaporins.However,large-scale,randomized,double-blind clinical trials of TCM for the treatment of CID are lacking,and most preclinical experiments have not been translated to clinical trials.Accordingly,this review highlights the clinical efficacy and molecular mechanisms of TCM against CID via PubMed,Web of Science and China National Knowledge Infrastructure and proposes that future research on TCM against CID should focus on strengthening the connection from bench to bed,which may help to comprehensively evaluate the therapeutic potential of TCM against CID.
基金General Program of National Natural Science Foundation of China(82474390)Construction Project of Pudong New Area Famous TCM Studios(National Pilot Zone for TCM Development,Shanghai)(PDZY-2025-0716)Shanghai Municipal Science and Technology Program Project Shanghai Key Laboratory of Health Identification and Assessment(21DZ2271000).
文摘Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.
基金supported by the Xinglin Scholars Nursery Program Talent Fund of Chengdu University of Traditional Chinese Medicine(MPRC2023005).
文摘Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogenesis owing to their multi-component and multi-target properties.This review focuses on the mechanisms of action of TCM monomers(e.g.,curcumin,tanshinone IIA,and ginsenoside)through the modulation of key pathways,such as HIF-1α,VEGF/VEGFRs,and Notch signaling,and explores their modulatory effects on the tumor microenvironment(e.g.,tumor-associated macrophage polarization).Despite the low toxicity and multi-targeting advantages of TCM,their clinical translation is still limited by low bioavailability and standardization difficulties.In this review,we further analyze the role of modern approaches,such as nanocarriers(liposomes,polymer nanoparticles,metal-coordinated nanomaterials,and plant exosome-like vesicles),in overcoming these bottlenecks and propose a strategy of combining TCM with chemotherapy,radiotherapy,and immunotherapy to overcome drug resistance and enhance therapeutic efficacy.By integrating traditional wisdom with cutting-edge technologies,anti-angiogenesis research in TCM is expected to contribute to the development of safer and more effective individualised cancer treatment.
基金supported by the National Natural Science Foundation of China (No. 82374195)。
文摘Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in targeting this mechanism. Evidence from human and animal models of heart failure indicates that TCM can restore mitochondrial function by regulating mitochondrial Ca^(2+) homeostasis, oxidative stress, energy metabolism, mitochondrial dynamics, and mitophagy. TCM-based treatment of CHF offers notable clinical advantages, including improved therapeutic efficacy, enhanced cardiac function, and reduced incidence of major cardiovascular events. Experimental studies demonstrate that TCM decoctions and monomers modulate signaling pathways such as PPAR–RXRα, NF-κB, and PI3K/AKT to alleviate oxidative stress. TCM also increases AMPK activity via phosphorylation of PGC-1α, indirectly promoting mitochondrial biogenesis;attenuates calcium influx and enhances Ca^(2+) reuptake, thereby ameliorating myocardial mitochondrial dysfunction in CHF;and improves CHF by rebalancing mitochondrial dynamics and autophagy.
基金supported by The China Ethnic Medicine Association Research Grant(No.2023MY055-81)Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences(2023GLLHD177,2023GLLH0174)Inner Mongolia Autonomous Region Regional Medical Center for Specialized Care(2025).
文摘Serbisütherapy(ST)is a distinctive external treatment modality within traditional Mongolian medicine(TMM),historically developed within a nomadic cultural framework.This study presents a comprehensive philological and historical analysis of ST,tracing its evolution from early battlefield applications to contemporary clinical use.By critically examining classical Mongolian medical texts alongside modern case studies,we aim to systematize ST’s therapeutic methods,indications,and limitations,while exploring its mechanisms of action through both traditional theory and modern biomedical perspectives.ST has undergone significant transformation,shifting from whole-body cavity immersion in the 13th century to targeted,organ-specific applications in modern practice.Its four primary methods–Covering,Mounted,Organ Placement,and Suction–demonstrate efficacy in treating cold-natured diseases,musculoskeletal disorders,gynecological conditions,and certain emergencies.ST embodies the core principles of TMM,particularly the balance of the“Three Roots”and the correction of cold-induced pathologies through heat.Despite challenges related to standardization,cultural translation,and regulatory acceptance,ST holds translational potential for integrative medicine.Future research should prioritize mechanistic validation,clinical standardization,and the development of biocompatible thermal technologies to bridge traditional practice with modern healthcare systems.
文摘When one steps inside Caoxian's Youai Cloud Warehouse,a livestreaming base dedicated to hanfu,it feels less like a clothing warehouse and more like a time capsule.Thousands of intricately embroidered garments line the racks-from elegant horseface skirts to modernized editions of traditional Chinese clothing.On one side,livestreamers dressed in hanfu smile at their smartphone cameras,twirling for their online audiences while the chime of incoming orders punctuates the air.Behind them,visitors run their hands over organza fabrics,marvelling at the fusion of ageold craftsmanship and contemporary taste.
基金supported by the National Social Science Fund of China(NSSFC):NSSFC Major Project“Exploration and Practice in the Development of Chinese Economics Since the Modern Era”(Grant No.17ZDA034)NSSFC Key Project“The Status and Value of Traditional Chinese Economic Thought”(Grant No.17AJL006)NSSFC General Project“The Transformation and Evolution of Chinese Economic Thought During the Republican Era”(Grant No.22BJL130).
文摘Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understanding how best to preserve,build on its remarkable achievements,and develop its intellectual legacy.Critics such as Schumpeter and Taylor have long argued that the economic reasoning found in ancient China cannot compare with that of classical Greece or medieval Europe.Yet this view often reflects the narrow assumptions of mainstream economics,defining analysis almost entirely in terms of market exchange.As a result,it tends to overlook traditions built around statecraft,governance,and the management of economic order.A careful re-examination and Sino-Western comparative analysis of key thinkers-including Mencius,Guanzi,and Sima Qian-tells a different story.Rooted in China’s distinctive cultural and philosophical heritage,traditional Chinese economic thought not only contains the analytical dimensions(as defined by Schumpeter)but also displays a broader and more diverse set of economic reasoning.Notably,its systematic depth and intellectual precision were,in many respects,remarkably advanced.Therefore,advancing the construction of a Chinese school of economics in the new era under the framework of the“Second Integration”,i.e.,integrating the basic tenets of Marxism with China’s fine traditional culture,should,and indeed can draw essential insights from this analytical tradition.
文摘In the year 2026,the world cultural exchanges will continue to develop,while the international public opinion environment remainsdive rseand complex.Looking back at this pivotal moment in history,the life journey of Sunny Wu,Chairman of the Hong Kong Doyens’Club,resonates perfectly with the national development.
基金Capital Health Development Scientific Research Project(2020-2-4064)National Key Research and Development Program of China(2018YFC2002502).
文摘Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The distribution pattern of traditional Chinese medicine(TCM)syndromes in this patient population,as well as its association with blood lipid profiles and clinical prognosis,remains unclear.The present prospective cohort study aims to investigate these correlations,thereby providing insights to enrich the research fields.Methods We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1,2020 and December 31,2022.Demographics and clinical characteristics,signs and symptoms defining each TCM syndrome,and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events(MACEs).We analyzed the correlation between TCM syndromes,blood lipid profiles,and MACEs,and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression.The analyses were based on detailed baseline and one-year follow-up data.Results A per-protocol analysis was performed on 586 patients with complete data ultimately.During the one-year follow-up,174 patients(29.69%)experienced a MACE.We performed statistical analyses on comorbidities,medication,and biochemical indicators across groups defined by TCM syndrome differentiation.When comparing different TCM syndromes,no significant differences were found in age,body mass index(BMI),history of revascularization,comorbidities,family history of CVD,smoking or drinking,or statin intensity(P>0.05).Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol(TC,5.27±1.18 mmol/L,P<0.001),triglyceride(TG,1.96±1.33 mmol/L,P=0.008),low-density lipoprotein cholesterol(LDL-C,3.35±0.79 mmol/L,P<0.001),and high-density lipoprotein cholesterol(HDL-C,1.24±0.81 mmol/L,P<0.001)compared with those with other TCM syndromes combined.A multivariable logistic regression model was constructed to predict MACEs.The model included TCM syndrome type[with intertwined phlegm and blood stasis as a predictor,adjusted odds ratio(OR)=1.413,95%confidence interval(CI):0.517–3.864,P=0.501],age(adjusted OR=0.97,95%CI:0.955–1.001,P=0.057),male gender(adjusted OR=0.698,95%CI:0.416–1.170,P=0.173),TC(adjusted OR=1.004,95%CI:0.513–1.965,P=0.990),and LDL-C(adjusted OR=5.825,95%CI:2.214–15.326,P<0.001).This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients[the area under the receiver operating characteristic(ROC)curve(AUC)=0.865,95%CI:0.816–0.914].Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C.The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters(TC and LDL-C)shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI,underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.
文摘《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、韩国、新加坡等东南亚国家以及欧美各国。
文摘《Asian Journal of Traditional Medicines》(亚洲传统医药)是2006年创刊(国际刊号:ISSN 1817-4337),由沈阳药科大学主办,中国香港盛京药大出版传媒有限公司出版,是海内外公开发行的传统医药行业全英文资讯期刊——发行国家包括日本、韩国、新加坡等东南亚国家以及欧美各国。
基金Natural Science Foundation of Hunan Province(2025JJ90031)Key Research and Development Program of Hunan Province of China(23A0273)Hunan Provincial Administration of Traditional Chinese Medicine(A2023048).
文摘Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods.Methods The fundus multi-label classification dataset with 12 disease categories(FMLC-12)dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition(ODIR)and Retinal Fundus Multi-Disease Image Dataset(RFMiD),yielding 6936 fundus images across 12 retinal pathology categories,and the framework was validated on both FMLC-12 and ODIR.Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine(TCM)ophthalmology,the dualbranch multi-label network(DBMNet)was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling.The architecture employed a TransNeXt backbone within a dual-branch design:one branch processed redgreen-blue(RGB)images to capture color-dependent features,such as vascular patterns and lesion morphology,while the other processed grayscale-converted images to enhance subtle textural details and contrast variations.A feature interaction module(FIM)effectively integrated the multi-scale features from both branches.Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM.The performance of DBMNet was compared against four state-of-the-art methods,including EfficientNet Ensemble,transfer learning-based convolutional neural network(CNN),BFENet,and EyeDeep-Net,using mean average precision(mAP),F1-score,and Cohen's kappa coefficient.Results The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline,increasing from 34.41%to 44.24%,and the addition of FIM further boosted mAP to 49.85%.On FMLC-12,DBMNet achieved an mAP of 49.85%,a Cohen’s kappa coefficient of 62.14%,and an F1-score of 70.21%.Compared with BFENet(mAP:45.42%,kappa:46.64%,F1-score:71.34%),DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa,while BFENet achieved a marginally higher F1-score.On ODIR,DBMNet achieved an F1-score of 85.50%,comparable to state-of-the-art methods.Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture,significantly improving multi-label fundus disease classification.The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases,providing a promising and clinically applicable pathway for standardized,intelligent fundus disease classification.
基金Key Scientific Research Project of the Hunan Provincial Department of Education(23A312).
文摘Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.
基金Supported by the Project of National Social Science Fund of China(22CMZ015).
文摘Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal materials promotes the inheritance and innovation of traditional Chinese medicine,and contributes to rural revitalization and the building of an agricultural power.This article provides an overview of the traditional Chinese medicinal materials in Hubei Province.It conducts a detailed investigation into the intellectual property resources of the province s traditional Chinese medicinal materials from aspects such as traditional knowledge,genetic resources,new plant varieties,patents,geographical indications,and trademarks.It analyzes the eight main problems in the protection,inheritance,and innovative development of intellectual property rights,and puts forward corresponding suggestions,such as establishing an intellectual property rights rule system for specific fields of traditional Chinese medicinal materials,promoting the"Famous Brand Action in Rural Areas",and building a"Hubei s Sixteen Superior Herbs"cluster of traditional Chinese medicinal materials.
基金National Key Research and Development Program of China(2024YFC3505400)Capital Clinical Project of Beijing Municipal Science&Technology Commission(Z221100007422092)Capital’s Funds for Health Improvement and Research(2024-1-2231).
文摘Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standardize diagnostic processes and prescription generation.Methods Two primary datasets were constructed:an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge,medical records,and chain-ofthought(CoT)reasoning datasets.After an initial evaluation of 16 open-source LLMs across inference time,accuracy,and output quality,Qwen2.5 was selected as the base model due to its superior overall performance.We then employed a two-stage low-rank adaptation(LoRA)fine-tuning strategy,integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records.This approach was designed to embed the clinical logic(symptoms→pathogenesis→therapeutic principles→prescriptions)into the model’s reasoning capabilities.The resulting fine-tuned model,specialized for TCM diarrhea,was designated as Qwen-TCM-Dia.Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy,precision,recall,and F1-score.Furthermore,the quality of the generated prescriptions was compared with that of established open-source TCM LLMs.Results Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs.It achieved 97.05%accuracy and 91.48%F1-score in disease diagnosis,and 74.54%accuracy and 74.21%F1-score in syndrome type differentiation.Compared with existing open-source TCM LLMs(BianCang,HuangDi,LingDan,TCMLLM-PR,and ZhongJing),Qwen-TCM-Dia exhibited higher fidelity in reconstructing the“symptoms→pathogenesis→therapeutic principles→prescriptions”logic chain.It provided complete prescriptions,whereas other models often omitted dosages or generated mismatched prescriptions.Conclusion By integrating continued pre-training,CoT reasoning,and a two-stage fine-tuning strategy,this study establishes a CDPGS for diarrhea in TCM.The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT.This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.
