Green prescription is a written prescription aimed at improving health by promoting physical activity and improving diet， with advantages such as high cost-effectiveness， strong feasibility， and minimal harm to patients. The theory of traditional Chinese medicine （TCM） green prescription integrates the health philosophy of "following rule of yin and yang， and adjusting ways to cultivating health"， the exercise philosophy of balancing yin-yang and the five elements， and the dietary philosophy of moderation and balance， which embody core TCM concepts such as treating disease before its onset and harmony between humans and nature. It has also developed traditional exercise practices like Tai Chi， Baduanjin， Wuqinxi， Yi-Gin-Ching， and Qigong， as well as dietary adjustments like medicated diet and herbal wines. However， it is believed that the TCM green prescription currently suffers from insufficient evidence-based research， low patient awareness and acceptance， and weak basic research. Based on this， it is proposed that large-sample clinical trials should be conducted in the future to improve the quality of evidence-based medicine， basic research can be carried out with the help of artificial intelligence and other methods in research design， the hospital information system （HIS） can be used for control at the implementation level， and publicity and patient education can be strengthened through the new media， so as to promote the development and application of the TCM green prescriptions in the field of global health treatment.

Traditional Chinese Medicine(TCM)emphasizes syndrome differentiation and treatment,characterized by"maintaining the prescription if effective"and"changing the prescription if ineffective".Traditional randomized controlled trials(RCTs)are inadequate for evaluating the efficacy of dynamic treatment adjustments.The Sequential Multiple Assignment Randomized Trial(SMART)is an emerging adaptive research design that incorporates randomization at multiple stages,allowing for adjustments in subsequent interventions based on treatment responses.This approach is suitable for evaluating dynamic treatment regimens while retaining the low bias risk of traditional RCTs,making it highly promising for clinical research in TCM.This paper summarizes recent methodological advancements in SMART design,including different sample size estimation and statistical analysis methods for primary effect objectives,embedded adaptive intervention objectives,and optimization objectives,along with providing corresponding operational software.Additionally,it offers considerations for applying SMART design in TCM research,such as the selection of disease types,interventions,decision points,tailoring variables,sample size calculation,statistical methods,the importance of pilot trials,ethical considerations,and limitations.The aim is to promote the exploration and practice of this method in the field of TCM,thereby contributing to the generation of high-quality evidence-based evidence for TCM.

Artificial intelligence (AI) technology is revolutionizing the precision diagnosis and treatment system in digestive system malignancies. In the preoperative stage, deep learning-driven multimodal data can significantly enhance the accuracy of early lesion detection and organ function assessment, while optimizing the prediction of the efficacy neoadjuvant therapy response with radiomics features. During surgery, the automatic surgical phase alorithm and intelligent pathology testing can effectively coordinate the surgical process; the combination of AI with augmented reality navigation system (AR) and mixed reality technology (MR) can improve the accuracy of intraoperative navigation; enhances intraoperative navigation accuracy; and the autonomous surgical robots can improve their ability to perform key tasks during surgery using sophisticated motion control algorithms. In postoperative management, federated learning promotes secure cross-institutional data sharing and alleviates the problem of data silos; and the development of interpretable models can also provide clearer decision-making basis for complication prediction and prognosis management. However, the current clinical translation process still faces three core challenges: (1) Quality control problems: the dual constraints of insufficient model generalization ability and lack of unified evaluation standards; (2) Methodological challenges: the logical opacity of decision-making and the cognitive barriers of the algorithm's causal reasoning process still affect its credibility; (3) Ethical and legal vacuum: the attribution of medical responsibility is unclear, and the legal system has not yet fully adapted to the development of AI applications. Based on this, the future should focus on: (1) Developing transparent AI systems to achieve a paradigm shift from "black box prediction" to "white box deductions"; (2) Establishing systematic AI evaluation standards and ethical and legal regulatory frameworks; (3) Promoting the construction of specialized biorepositories database and causal graph library for digestive oncology. The aim is to help AI upgrade from an auxiliary tool to an intelligent decision-making partner.

Objective To explore the role and potential mechanisms of plasma-activated solution(PAS)in alleviating dextran sulfate sodium salt(DSS)-induced ulcerative colitis.Methods We constructed a DSS-induced ulcerative colitis mouse model and evaluated the effect of PAS in vivo by observing mouse weight,calculating disease activity indexes,detecting inflammatory factors and oxidative stress indicators through ELISA.We also evaluated the effect of PAS on colon cell proliferation and migration ability through clone formation experiments,scratch experiments,and used Western blotting to determine the expression levels of proliferation-related proteins.Results PAS significantly reversed DSS-induced weight loss and increased disease activity indexes in mice(P＜0.05).The serum inflammatory cytokine levels(TNF-α,IL-6 and IL-1β)in PAS group were significantly reduced compared to those in DSS group(P＜0.05).PAS treatment could improve the imbalance of colonic redox homeostasis including changes of malondialdehyde,catalase and superoxide dismutase caused by DSS(P＜0.05).After the use of endothelial nitric oxide synthase inhibitors,changes in various indicators caused by in vivo PAS disappeared(P＜0.001).The clone formation ability of colon cells was stronger in the group treated with PAS,and the expression of proliferation-related proteins increased.Cell scratch experiments suggested that intervention with PAS could reverse the decrease in cell migration ability caused by lipopolysaccharide(P＜0.001).After the application of endothelial nitric oxide synthase inhibitors,the pro-proliferative and migratory effects of PAS disappeared(P＜0.05).Conclusion PAS alleviate DSS-induced colitis in mice and promote colonic epithelial cell repair through the eNOS pathway.

Objective To explore the application of plasma-activated solution(PAS)in the treatment of peritoneal metastasis in mice.Methods A mice model of peritoneal tumor transplantation was established,and PAS was prepared for intervention in the mice.The growth of the peritoneally transplanted tumor was assessed using in vivo imaging technology,while the apoptosis level was evaluated through flow cytometry,immunofluorescence,and Western blotting.Results At the in vitro level,there was no significant impact on tumor cell apoptosis level under adherent conditions observed when utilizing PAS(P＞0.05).Under non-adherent condition,PAS significantly augmented tumor cell apoptosis level(P＜0.05),substantially increased the proportion of deceased cells(P＜0.05),and markedly elevated intracellular total and mitochondrial reactive oxygen species levels(P＜0.05).In vivo level,using PAS following peritoneal transplanted tumor formation exhibited no noteworthy influence on peritoneal transplanted tumor growth(P＞0.05),while immediate utilization of PAS during model conducting effectively reduced abdominal tumor spread(P＜0.05).Conclusion PAS inhibits tumor peritoneal dissemination in mice by promoting tumor cell anoikis.

Objective To explore the role and potential mechanisms of plasma-activated solution(PAS)in alleviating dextran sulfate sodium salt(DSS)-induced ulcerative colitis.Methods We constructed a DSS-induced ulcerative colitis mouse model and evaluated the effect of PAS in vivo by observing mouse weight,calculating disease activity indexes,detecting inflammatory factors and oxidative stress indicators through ELISA.We also evaluated the effect of PAS on colon cell proliferation and migration ability through clone formation experiments,scratch experiments,and used Western blotting to determine the expression levels of proliferation-related proteins.Results PAS significantly reversed DSS-induced weight loss and increased disease activity indexes in mice(P＜0.05).The serum inflammatory cytokine levels(TNF-α,IL-6 and IL-1β)in PAS group were significantly reduced compared to those in DSS group(P＜0.05).PAS treatment could improve the imbalance of colonic redox homeostasis including changes of malondialdehyde,catalase and superoxide dismutase caused by DSS(P＜0.05).After the use of endothelial nitric oxide synthase inhibitors,changes in various indicators caused by in vivo PAS disappeared(P＜0.001).The clone formation ability of colon cells was stronger in the group treated with PAS,and the expression of proliferation-related proteins increased.Cell scratch experiments suggested that intervention with PAS could reverse the decrease in cell migration ability caused by lipopolysaccharide(P＜0.001).After the application of endothelial nitric oxide synthase inhibitors,the pro-proliferative and migratory effects of PAS disappeared(P＜0.05).Conclusion PAS alleviate DSS-induced colitis in mice and promote colonic epithelial cell repair through the eNOS pathway.

Objective To explore the application of plasma-activated solution(PAS)in the treatment of peritoneal metastasis in mice.Methods A mice model of peritoneal tumor transplantation was established,and PAS was prepared for intervention in the mice.The growth of the peritoneally transplanted tumor was assessed using in vivo imaging technology,while the apoptosis level was evaluated through flow cytometry,immunofluorescence,and Western blotting.Results At the in vitro level,there was no significant impact on tumor cell apoptosis level under adherent conditions observed when utilizing PAS(P＞0.05).Under non-adherent condition,PAS significantly augmented tumor cell apoptosis level(P＜0.05),substantially increased the proportion of deceased cells(P＜0.05),and markedly elevated intracellular total and mitochondrial reactive oxygen species levels(P＜0.05).In vivo level,using PAS following peritoneal transplanted tumor formation exhibited no noteworthy influence on peritoneal transplanted tumor growth(P＞0.05),while immediate utilization of PAS during model conducting effectively reduced abdominal tumor spread(P＜0.05).Conclusion PAS inhibits tumor peritoneal dissemination in mice by promoting tumor cell anoikis.

Traditional Chinese Medicine(TCM)emphasizes syndrome differentiation and treatment,characterized by"maintaining the prescription if effective"and"changing the prescription if ineffective".Traditional randomized controlled trials(RCTs)are inadequate for evaluating the efficacy of dynamic treatment adjustments.The Sequential Multiple Assignment Randomized Trial(SMART)is an emerging adaptive research design that incorporates randomization at multiple stages,allowing for adjustments in subsequent interventions based on treatment responses.This approach is suitable for evaluating dynamic treatment regimens while retaining the low bias risk of traditional RCTs,making it highly promising for clinical research in TCM.This paper summarizes recent methodological advancements in SMART design,including different sample size estimation and statistical analysis methods for primary effect objectives,embedded adaptive intervention objectives,and optimization objectives,along with providing corresponding operational software.Additionally,it offers considerations for applying SMART design in TCM research,such as the selection of disease types,interventions,decision points,tailoring variables,sample size calculation,statistical methods,the importance of pilot trials,ethical considerations,and limitations.The aim is to promote the exploration and practice of this method in the field of TCM,thereby contributing to the generation of high-quality evidence-based evidence for TCM.

Artificial intelligence (AI) technology is revolutionizing the precision diagnosis and treatment system in digestive system malignancies. In the preoperative stage, deep learning-driven multimodal data can significantly enhance the accuracy of early lesion detection and organ function assessment, while optimizing the prediction of the efficacy neoadjuvant therapy response with radiomics features. During surgery, the automatic surgical phase alorithm and intelligent pathology testing can effectively coordinate the surgical process; the combination of AI with augmented reality navigation system (AR) and mixed reality technology (MR) can improve the accuracy of intraoperative navigation; enhances intraoperative navigation accuracy; and the autonomous surgical robots can improve their ability to perform key tasks during surgery using sophisticated motion control algorithms. In postoperative management, federated learning promotes secure cross-institutional data sharing and alleviates the problem of data silos; and the development of interpretable models can also provide clearer decision-making basis for complication prediction and prognosis management. However, the current clinical translation process still faces three core challenges: (1) Quality control problems: the dual constraints of insufficient model generalization ability and lack of unified evaluation standards; (2) Methodological challenges: the logical opacity of decision-making and the cognitive barriers of the algorithm's causal reasoning process still affect its credibility; (3) Ethical and legal vacuum: the attribution of medical responsibility is unclear, and the legal system has not yet fully adapted to the development of AI applications. Based on this, the future should focus on: (1) Developing transparent AI systems to achieve a paradigm shift from "black box prediction" to "white box deductions"; (2) Establishing systematic AI evaluation standards and ethical and legal regulatory frameworks; (3) Promoting the construction of specialized biorepositories database and causal graph library for digestive oncology. The aim is to help AI upgrade from an auxiliary tool to an intelligent decision-making partner.

The quality evaluation of the blind method is to evaluate the clinical blind data obtained from clinical trials adopting the blind method and judge the effectiveness of the blind method by investigating the blind effect of different blind objects. A successful blind method can avoid the influence of subjective factors on the test results of subjects and researchers to a certain extent. The quality evaluation of the blind method can reflect not only the effectiveness of the blind method but also the accuracy and credibility of clinical trial results. In recent years， randomized controlled trials have been widely used in the evaluation of the clinical efficacy of traditional Chinese medicine （TCM）， but the quality of the implementation of blind methods is uneven， and the evaluation criteria have not yet been formed. In this paper， the data collection methods， calculation principles， advantages， and disadvantages of two quantitative quality evaluation methods of blind methods， namely James Blinding Index （JBI） and Bang Blinding Index （BBI）， were introduced. The two indexes were analyzed in a randomized controlled trial of acupuncture and moxibustion to relieve postoperative oral pain. The calculation process of the results was demonstrated by R software and visualized by forest map. At the same time， a tool table was designed to facilitate the collection of evaluation data of blind methods in TCM clinical trials at different stages. Finally， the necessity and feasibility of quality evaluation of blind method in TCM research were discussed to provide a basis for evaluating and improving the quality of blind method implementation in TCM clinical trials.