Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM’s holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM’s material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides comprehensive insights into TCM’s holistic material basis.Moreover,the research examines AI’s role in quantitative assessment and predictive analysis of TCM’s material components,proposing two specific AIdriven technical applications.This interdisciplinary effort underscores AI’s potential to enhance our understanding of TCM’s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.

TCMLLM-PR:evaluation of large language models for prescription recommendation in traditional Chinese medicine

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).

Construction of competency evaluation system for infection control personnel in traditional Chinese medicine hospitals

Background:This study uses a literature review and the Delphi expert consultation method to construct a competency evaluation model for infection control personnel in traditional Chinese medicine(TCM)hospitals.The aim is to strengthen infection control management in TCM hospitals,assess the competency of infection control personnel in their positions,and assist them in identifying the competencies that need improvement.Methods:Based on the literature research method and the Delphi expert consultation method,a competency model for the position was constructed through two rounds of expert consultations,analyzing the relationships between various factors and establishing a hierarchical structure model.Pairwise comparisons were made among the elements at the same level to construct a judgment matrix.Through the analytic hierarchy process,the weight coefficients of the indicators at each level in the competency model were obtained.Results:This study conducted a comprehensive assessment of various capabilities and practices related to hospital infection control.The survey results indicate that participants excelled in multiple areas,with a high overall satisfaction rate.95.28%of participants were able to develop hospital infection monitoring plans based on national infection control policies,demonstrating a good understanding and execution of these policies.94.09%of participants were familiar with high-risk populations and key departments in the hospital.91.73%of participants were able to establish monitoring scopes based on the trends of multidrug-resistant bacteria and conduct information monitoring,reflecting strong response capabilities.92.91%of participants were able to collaborate with relevant departments to conduct bacterial resistance monitoring,showing a good team spirit.94.49%of participants were able to perform targeted monitoring,including surgical site infections,indicating that they have effective monitoring strategies.91.34%of participants were able to collect and organize monitoring data and establish a systematic database,demonstrating good data management skills.90.16%of participants were able to interpret laws and regulations related to hospital infection management,indicating a high level of legal knowledge.89.37%of participants generally possessed good communication skills.92.52%of participants were able to guide medical staff on occupational safety and protective knowledge,showing an emphasis on occupational health.Participants demonstrated a strong desire to learn and innovate,with 87.01%actively participating in continuing education and research activities,reflecting a pursuit of professional development.Conclusion:Based on the results of the two rounds of expert consultations,a competency evaluation model for infection control personnel in TCM hospitals was formed.Through the analytic hierarchy process,the weight coefficients of various indicators at different levels in the model were obtained,and the research results have good scientific validity and reliability.

A Brief Discussion on the Construction of Practical Teaching System for the Traditional Chinese Medicine Resources and Development Major

China’s traditional medicine,science,and technology industry has great development potential.However,there is a problem of insufficient practitioners in the current industrial development.At the same time,the capabilities of existing practitioners do not match the demand standards.Therefore,it is necessary to actively promote the education of resources and development in Central Asia.As an institution for cultivating talents,colleges and universities must establish a practical teaching system for cultivating talents.Based on the requirements put forward by China in education,this article studies the development status of the traditional Chinese medicine resources and development major,determines the talent training goals,starts from the practical teaching aspect,and locates the industry’s requirements for the capabilities of personnel in the field of traditional Chinese medicine.It also puts forward the overall idea of the construction of the practical teaching system,summarizes the reform content of the practical teaching system,and lastly provides the specific path of the reform.

Molecular mechanism and research progress of traditional Chinese medicine in the treatment of prostate cancer

Prostate cancer(PCa)is one of the most common malignant tumors in the male genitourinary system,ranking second in incidence worldwide.Traditional Chinese medicine(TCM),as an important component of complementary and alternative medicine,shows unique advantages in cancer treatment.Chinese herbal medicine is usually composed of multiple ingredients and involves multiple signaling pathways,which showed function of inducing apoptosis of cancer cells,arresting the cell cycle,inhibiting invasion and metastasis,reducing drug resistance,and regulating immune function.Physical therapy is also an important treatment of TCM.Currently,Physical therapy such as acupuncture or Tai Chi and Qigong are gaining increased recognition in the management of PCa,particularly in addressing issues like urinary incontinence and bone metastasis-related pain.This article reviews the TCM treatment and therapy of PCa,in order to provide new research avenues and treatment options for the treatment of PCa with TCM and improve the quality of life of patients.

Five commonly used traditional Chinese medicine formulas in the treatment of ulcerative colitis:A network meta-analysis

BACKGROUND Currently,traditional Chinese medicine(TCM)formulas are commonly being used as adjunctive therapy for ulcerative colitis in China.Network meta-analysis,a quantitative and comprehensive analytical method,can systematically compare the effects of different adjunctive treatment options for ulcerative colitis,providing scientific evidence for clinical decision-making.AIM To evaluate the clinical efficacy and safety of commonly used TCM for the treatment of ulcerative colitis(UC)in clinical practice through a network metaanalysis.METHODS Clinical randomized controlled trials of these TCM formulas used for the adjuvant treatment of UC were searched from the establishment of the databases to July 1,2022.Studies that met the inclusion criteria were screened and evaluated for literature quality and risk of bias according to the Cochrane 5.1 standard.The methodological quality of the studies was assessed using ReviewManager(RevMan)5.4,and a funnel plot was constructed to test for publication bias.ADDIS 1.16 statistical software was used to perform statistical analysis of the treatment measures and derive the network relationship and ranking diagrams of the various intervention measures.RESULTS A total of 64 randomized controlled trials involving 5456 patients with UC were included in this study.The adjuvant treatment of UC using five TCM formulations was able to improve the clinical outcome of the patients.Adjuvant treatment with Baitouweng decoction(BTWT)showed a significant effect[mean difference=36.22,95%confidence interval(CI):7.63 to 65.76].For the reduction of tumor necrosis factor in patients with UC,adjunctive therapy with BTWT(mean difference=−9.55,95%CI:−17.89 to−1.41),Shenlingbaizhu powder[SLBZS;odds ratio(OR)=0.19,95%CI:0.08 to 0.39],and Shaoyao decoction(OR=−23.02,95%CI:−33.64 to−13.14)was effective.Shaoyao decoction was more effective than BTWT(OR=0.12,95%CI:0.03 to 0.39),SLBZS(OR=0.19,95%CI:0.08 to 0.39),and Xi Lei powder(OR=0.34,95%CI:0.13 to 0.81)in reducing tumor necrosis factor and the recurrence rate of UC.CONCLUSION TCM combined with mesalazine is more effective than mesalazine alone in the treatment of UC.

Exploring the transformative impact of traditional Chinese medicine on depression:Insights from animal models

Depression,a prevalent and complex mental health condition,presents a significant global health burden.Depression is one of the most frequent mental disorders;deaths from it account for 14.3%of people worldwide.In recent years,the integration of complementary and alternative medicine,including traditional Chinese medicine(TCM),has gained attention as a potential avenue for addressing depression.This comprehensive review critically assesses the efficacy of TCM interventions in alleviating depressive symptoms.An in-depth look at different research studies,clinical trials,and meta-analyses is used in this review to look into how TCM practices like herbal formulations,acupuncture,and mindbody practices work.The review looks at the quality of the evidence,the rigor of the methods,and any possible flaws in the current studies.This gives us an idea of where TCM stands right now in terms of treating depression.This comprehensive review aims to assess the efficacy of TCM interventions in alleviating depressive symptoms.In order to learn more about their possible healing effects,the study also looks into how different types of TCM work,such as herbal formulas,acupuncture,and mind-body practices.

Research on the development methodology for clinical practice guidelines for organic integration of traditional Chinese medicine and Western medicine

Integrated traditional Chinese medicine(TCM)and Western medicine(WM)is a new medical science grounded in the knowledge bases of both TCM and WM,which then forms a unique modern medical system in China.Integrated TCM and WM has a long history in China,and has made important achievements in the process of clinical diagnosis and treatment.However,the methodological defects in currently published clinical practice guidelines(CPGs)limit its development.The organic integration of TCM and WM is a deeper integration of TCM and WM.To realize the progression of"integration"to"organic integration",a targeted and standardized guideline development methodology is needed.Therefore,the purpose of this study is to establish a standardized development procedure for clinical practice guidelines for the organic integration of TCM and WM to promote the systematic integration of TCM and WM research results into clinical practice guidelines in order to achieve optimal results as the whole is greater than the sum of the parts.

Traditional Chinese Medicine Erhuang Suppository for Treatment of Persistent High-risk Human Papillomavirus Infection and Its Impact on Transcriptome of Uterine Cervix

Objective High-risk human papillomavirus(HR-HPV)infection is the chief cause of cervical intraepithelial neoplasia(CIN)and cervical carcinoma.The Erhuang suppository(EHS)is a traditional Chinese medicine(TCM)prepared from realgar(As_(2)S_(2)),Coptidis rhizoma,alumen,and borneolum syntheticum and has been used for antiviral and antitumor purposes.However,whether EHS can efficiently alleviate HR-HPV infection remains unclear.This study was conducted to evaluate the efficacy of EHS for the treatment of persistent HR-HPV infection in the uterine cervix.Methods In this study,we evaluated the therapeutic efficacy of EHS in a randomized controlled clinical trial with a 3-month follow-up.Totally,70 patients with persistent HR-HPV infection were randomly assigned to receive intravaginal administration of EHS or placebo.HPV DNA,ThinPrep cytologic test(TCT),colposcopy,and safety evaluation were carried out after treatment.Microarray analysis was performed to compare transcriptome profiles before and after EHS treatment.A K14-HPV16 mouse model was generated to confirm the efficiency of EHS.Results After 3 months,74.3%(26/35)of the patients in the treatment group were HPV negative,compared to 6.9%(2/29)in the placebo group.High-throughput microarrays revealed distinct transcriptome profiles after treatment.The differentially expressed genes were significantly enriched in complement activation,immune response,and apoptotic processes.The K14-HPV16 mouse model also validated the remarkable efficacy of EHS.Conclusion This study demonstrated that EHS is effective against HR-HPV infection and cervical lesions.Additionally,no obvious systemic toxicity was observed in patients during the trial.The superior efficacy and safety of EHS demonstrated its considerable value as a potential cost-effective drug for the treatment of HPV infection and HPV-related cervical diseases.

Advances in surface plasmon resonance for analyzing active components in traditional Chinese medicine

The surface plasmon resonance(SPR)biosensor technology is a novel optical analysis method for studying intermolecular interactions.Owing to in-depth research on traditional Chinese medicine(TCM)in recent years,comprehensive and specific identification of components and target interactions has become key yet difficult tasks.SPR has gradually been used to analyze the active components of TCM owing to its high sensitivity,strong exclusivity,large flux,and real-time monitoring capabilities.This review sought to briefly introduce the active components of TCM and the principle of SPR,and provide historical and new insights into the application of SPR in the analysis of the active components of TCM.

Matching traditional Chinese medicine and western medicine-based research:Advanced nutraceutical development for proactive gastric cancer prevention

Gastric cancer(GC),the third leading cause of cancer-related death globally,is complex and heterogeneous.This review explores multidisciplinary investigations of traditional Chinese medicine(TCM)combined with Western medical practices,emphasizing the development of nutraceuticals for cancer prevention.Using advanced analytical chemistry and food chemistry techniques,this study investigated how TCM components may be optimized for nutraceutical development.Focusing on molecular interactions with GC pathways,particularly the NF-κB,PI3K/Akt,and Wnt/β-catenin pathways,we examined the effects of TCM polyherbal formulas,extracts,and isolated compounds.These agents modulate apoptosis and cellular proliferation,underscoring their potential in preventive strategies.The convergence of nutraceutical and medicine food homology studies highlights a significant shift towards integrating TCM-derived compounds in a preventive health framework.This approach aims not only to enhance efficacy and reduce side effects but also to champion a preventive paradigm using personalized medicine to advance proactive health maintenance and disease prevention.The combination of TCM and western medical practices offers promising avenues for future research and practical applications in GC prevention.

Integration of traditional,complementary,and alternative medicine with modern biomedicine:the scientization,evidence,and challenges for integration of traditional Chinese medicine

Traditional medicine has garnered significant global recognition,with an estimated 80%of the global population using it.Therefore,it is essential to fully understand the integration of traditional medicines into current healthcare systems.This review aims to provide a comprehensive overview of the standard process to modernize traditional medicine scientifically in the context of modern biomedicine,further termed here as“scientization”.Specifically,we aim to summarize the advancements made in understanding the efficacy,effectiveness,and underlying mechanisms of herbal medicine.We also examined the transition from experience-to evidence-based medicine during acupuncture.Furthermore,we explore the development of universal safety and quality control standards.Finally,we discuss international trade and export markets for Chinese medical products.The development and integration of traditional medicine have allowed it to further improve human health,resulting in a more comprehensive health solution for the global population.

HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy

AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intelligent syndrome differentiation.METHODS:Collated data on real-world DR cases were collected.A variety of machine learning methods were used to construct TCM syndrome classification model,and the best performance was selected as the basic model.Genetic Algorithm(GA)was used for feature selection to obtain the optimal feature combination.Harris Hawk Optimization(HHO)was used for parameter optimization,and a classification model based on feature selection and parameter optimization was constructed.The performance of the model was compared with other optimization algorithms.The models were evaluated with accuracy,precision,recall,and F1 score as indicators.RESULTS:Data on 970 cases that met screening requirements were collected.Support Vector Machine(SVM)was the best basic classification model.The accuracy rate of the model was 82.05%,the precision rate was 82.34%,the recall rate was 81.81%,and the F1 value was 81.76%.After GA screening,the optimal feature combination contained 37 feature values,which was consistent with TCM clinical practice.The model based on optimal combination and SVM(GA_SVM)had an accuracy improvement of 1.92%compared to the basic classifier.SVM model based on HHO and GA optimization(HHO_GA_SVM)had the best performance and convergence speed compared with other optimization algorithms.Compared with the basic classification model,the accuracy was improved by 3.51%.CONCLUSION:HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR.It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.

Chinese herbal medicine for the treatment of endocrine therapyrelated osteoporosis among patients with breast cancer:A systematic review and meta-analysis

Objective:To assess the efficacy and safety of combining traditional Chinese medicine(TCM),specifically Chinese herbal medicine(CHM),with Western medicine(WM),compared to WM alone to treat breast cancer endocrine therapy-related osteoporosis(BCET-OP)by meta-analysis.Methods:Thirty-eight randomized controlled trials involving 2170 participants were analyzed.Eight databases were searched for articles published between inception and December 2023.Quality assessment was performed using the Risk of Bias 2 tool.Results:Significant increases were observed in the TCM-WM group in lumbar vertebrae bone mineral density(BMD)(P<.001,mean difference(MD)=0.07,95%confidence interval(CI):0.06 to 0.08),lumbar vertebrae T-score(P=.0005,MD=0.21,95%CI:0.09 to 0.33)and collum femoris BMD(P=.01,MD=0.10,95%CI:0.02 to 0.19).No significant difference was observed between the groups in the collum femoris T-score and estradiol levels.Bone gla-protein levels were significantly increased in the TCM-WM group(P=.0002,MD=0.52,95%CI:0.25 to 0.79).Beta-CrossLaps decreased significantly in the TCM-WM group(P=.0008,MD=−0.10,95%CI:−0.16 to−0.04).No significant difference was observed between the TCM-WM and WM groups in alkaline phosphatase,in procollagen type I N-terminal propeptide,and in the Kupperman index.The visual analog score(VAS)was decreased in the TCM-WM group compared to the WM group(P<.001,MD=−1.40,95%CI:−1.94 to−0.87).No significant difference in adverse events was observed between the two groups.Conclusion:Combining CHM with WM in patients with BCET-OP significantly improved BMD,T-score,and certain bone turnover markers and reduced the VAS score,indicating potential benefits for bone health and related pain.Adverse event analysis revealed no differences between the groups,supporting the feasibility of the combination therapy.However,further research,particularly in diverse populations,is required.

From traditional Chinese medicine formulations to effective anticancer agents:Insights from Calculus bovis

This editorial examines the therapeutic potential of traditional Chinese medicine(TCM)for aggressive cancers,particularly liver cancer.It highlights the study by Huang et al,which shows how Calculus bovis,a component of the TCM Pien Tze Huang,suppresses liver cancer by inhibiting M2 macrophage polarization via the Wnt/β-catenin pathway.This research emphasizes the importance of transitioning from effective TCM formulations to isolating active components and understanding their mechanisms.While the study provides valuable insights,it primarily focuses on the Wnt/β-catenin pathway and does not delve deeply into the mechanisms of individual components.Future research should aim to comprehensively study these components,explore their interactions,and validate findings through clinical trials.This approach will integrate traditional wisdom with modern scientific validation,advancing the development of innovative cancer treatments based on TCM formulations.

Optimal traditional Chinese medicine formulas in treating ulcerative colitis:Choose one or take it all?

Ulcerative colitis(UC)is a chronic inflammatory bowel disease that presents significant treatment challenges due to its complexity,especially in terms of the various side effects that traditional medications may bring during the chronic course of the disease.Traditional Chinese medicine(TCM)has emerged as a promising complementary therapy for UC.Based on the latest research,our editorial explored the current issues and potential essential research directions for TCM in treating UC.We anticipate that future high-quality research will pave the way for the optimization of TCM formulas for UC and their broader global application.

Retrospective cohort study on the postoperative survival rate enhancement of patients with colorectal cancer using three traditional Chinese medicine formulations:evidence from 1,361 cases

Background:Prior studies have affirmed the safety and effectiveness of traditional Chinese medicine in treating colorectal cancer patients.However,definitive evidence regarding whether traditional Chinese medicine can significantly enhance the survival of colorectal cancer patients remains elusive.This study seeks to provide conclusive insights by examining the postoperative administration of Xihuang capsules,Pingxiao capsules,and Zilongjin tablets and its impact on the 5-year overall survival(OS)and disease-free survival(DFS)rates among colorectal cancer patients.Methods:A retrospective study was conducted,involving 1,361 patients selected from the medical center.This retrospective study was carried out at a medical center in Tianjin,China.We assessed differences in postoperative OS and DFS between the control group and the medication group using Kaplan–Meier survival analysis and Cox proportional hazards modeling.Additionally,propensity score matching was used to mitigate imbalances in baseline characteristics among patients.Results:Before propensity score matching,Xihuang capsules could prolong the 5-year OS(79.9%vs.81.4%,P=0.0480)and 5-year DFS(74.9%vs.79.5%,P=0.0046)of patients after surgery.Similar conclusions were obtained after propensity score matching:OS(74.8%vs.78.3%,P=0.0084),DFS(72.7%vs.78.9%,P=0.008).Patients taking Pingxiao capsules showed improved 5-year OS(77.2%vs.84.0%,P=0.0383)and 5-year DFS(69.9%vs.80.0%,P=0.0157)after propensity score matching.Patients taking Zilongjin tablets showed improvement in the 2-year OS(84.2%vs.93.1%,P=0.0390)and 1-year DFS(88.2%vs.92.0%,P=0.0320)after propensity score matching.Conclusion:Xihuang capsules and Pingxiao capsules significantly improved the 5-year OS and DFS of patients with colorectal cancer after surgery.Zilongjin tablets showed improvement in the 2-year OS and 1-year DFS after surgery for patients.

Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine

Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.

Feasibility and Challenges of Interactive AI for Traditional Chinese Medicine: An Example of ChatGPT

As a complementary and alternative medicine(CAM),traditional Chinese medicine(TCM)represents an established medical system with a rich history and abundant clinical experience.TCM is an empirical medicine,the process of which is analogous to ChatGPT’s learning and development model.In TCM,inquiry is a relatively objective way of traditional syndrome differentiation.Although various artificial intelligence systems related to TCM consultation exist,their interactive abilities remain limited.The study standardized the primary complaint and instructed ChatGPT to simulate a TCM practitioner,conducting three comprehensive inquiry tests.The results yielded unexpected conclusions,revealing that ChatGPT could simulate a TCM practitioner’s inquiry with patients,confirming its potential in the field of TCM inquiry.However,current applications still pose certain limitations and risks.Hence,to integrate ChatGPT-like language models with traditional TCM AI to establish an associative mode that can facilitate TCM diagnosis and treatment with more convenience and standardization is crucial,yet at the same time,it should be treated very carefully.

Challenges in integrating traditional Chinese medicine and gut microbiota research for insomnia treatment

The gut microbiome is an extensive variety of bacteria with a range of metabolic capabilities that can be pathogenic,beneficial,or opportunistic.Changes in the gut microbiota's composition can affect the link between gut integrity and host health as well as cause disruptions to numerous neurological systems.The second most prevalent mental health problem,insomnia has a negative social and economic impact.Currently,it is becoming increasingly obvious how crucial it is to preserve the delicate balance of gut microbiota to treat illness-related symptoms like insomnia.Although traditional Chinese medicine has proposed an effective strategy against insomnia through gut microbiota alteration in animal models,studies in human models are limited.This decreases the predictive value of the studies in terms of human outcomes.This editorial places an emphasis on cultural sensitivity rather than scientific reasoning that promotes the use of traditional Chinese medicine(TCM).We aim to emphasize the concern that promoting TCM could divert resources from conventional medical research,leading to suboptimal care.