As a distinctive resource of Chinese civilization， traditional Chinese medicine （TCM） technology transfer faces significant opportunities under the background of digital and intelligent transformation， while also being constrained by unique challenges such as the complexity of its theoretical system， lengthy industrial chains， and multidimensional policy restrictions， resulting in a "high-value-high-threshold" paradox. At present， TCM technology transfer is deeply trapped in a "threefold reluctance" dilemma， i.e.， unwillingness to transfer， inability to transfer， and lack of capacity to transfer. Specifically， the disconnection between scientific research evaluation systems and market demand leads to low conversion rates of research achievements， unclear ownership and compliance risks suppress innovation incentives， and the absence of professional services intensifies supply-demand mismatches. This article systematically analyzes the specific characteristics of TCM technology transfer and proposes a breakthrough pathway centered on full-chain digital and intelligent transformation. By integrating technologies such as intelligent sorting systems， blockchain-based traceability， and AI diagnostic models， the TCM ecosystem spanning "cultivation-production-service" can be reconstructed. In terms of standardization， promoting the progression from "experience-based data conversion" to "data standardization" and further to "intelligent standardization" is advocated to resolve quality control challenges. For example， a "three-no-one-full" certification system can strengthen quality trust. Policy coordination should focus on optimizing mechanisms for the transformation of scientific and technological achievements， while exploring intellectual property securitization and risk-sharing models to stimulate research momentum. In terms of internationalization， reliance on the Belt and Road Initiative platform to promote the export of geo-authentic medicinal material brands and standards is recommended to build a dual-driven model of "technology plus culture". Looking ahead， through the construction of national-level databases， the cultivation of interdisciplinary talent， and the mutual recognition of international standards， a new paradigm of "scientific intelligent manufacturing" can be formed， providing systematic solutions for the modernization of TCM and global health governance.

To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Objective:To explore genomic features associated with gemcitabine sensitivity, patient-derived organoid models of biliary tract cancer (BTC) were established and characterized.Methods:This is an experimental study. The tissue specimens of BTC were collected from patients who underwent surgical resection at the Department of Hepatobiliary and Pancreatic Surgery,the Second Affiliated Hospital of Zhejiang University School of Medicine between January 2020 and December 2023. The tumor organoids were cultured in vitro and histologically characterized. Drug sensitivity testing was performed using gemcitabine,cisplatin,paclitaxel,fluorouracil,and lenvatinib etc. to evaluate cell viability. The correlation between the drug sensitivity of organoids and clinical therapeutic response was analyzed.Results:Thirty-eight patient-derived organoids (PDO) models were successfully established from 43 biliary tract malignancy patients with complete follow-up data,including gallbladder cancer PDO 14 cases,distal bile duct cancer PDO 16 cases,intrahepatic cholangiocarcinoma PDO 8 cases,achieving an overall success rate of 88.4%. Drug sensitivity testing (DST) was performed on the successfully generated PDO,with 35 models successfully completing DST experiments. The overall consistency rate between drug responses in PDOs and clinical survival outcomes in corresponding patients was 8/14. Transcriptomic analysis of gemcitabine-sensitive vs. gemcitabine-resistant PDO identified 71 differentially expressed genes in the resistant group,the significantly up-regulated genes including GLDC, LINC01595, IL-27, ANGPTL3, CYP7A1,and AKR1C1;the significantly down-regulated genes including P2RY2,LIPC,and ECHDC3. Conclusion:A biobank of patient-derived organoids of BTC has been established,which demonstrates its potential as preclinical models and tools for predicting chemotherapy responses for BTC patients.

Abstract To investigate the effects of exercise on gut microbiota(GM) among children with autism spectrum disorder(ASD)，the review provides an in depth summary of the three core biological pathways through which exercise modulates the GM: repairing the integrity of the intestinal barrier to inhibit lipopolysaccharide mediated neuroinflammation; optimizing key metabolites, such as short chain fatty acids, to reshape gut-brain communication; synergistically regulating the tryptophan-kynurenine metabolic pathway and vagus nerve signaling to balance neurotransmitters. These interconnected pathways not only alleviate gastrointestinal discomfort but also provide a solid biological foundation for improving the core behavioral symptoms of ASD, such as social deficits and repetitive behaviors. Future research should focus on establishing standardized exercise intervention protocols, validating the efficacy of these key biological pathways using multi omics approaches, and exploring combined intervention strategies. The results of corollary studies will provide a more robust scientific basis for precision rehabilitation of children with ASD.

Hepatocellular carcinoma is the most common type of primary liver cancer. Many patients who have been diagnosed with hepatocellular carcinoma are already at an advanced stage, leading to very limited treatment options and poor prognosis. Therefore, the key to improving prognosis is early-stage diagnosis. In recent years, with deeper analysis of the underlying biological mechanisms of HCC, new diagnostic methods have emerged, including emerging serum markers, liquid biopsy, molecular diagnostics, and imaging techniques. This article reviews and analyzes the research progress on early-stage screening and explores their value and application prospects in the early predictive diagnosis of HCC..

Objective:To explore genomic features associated with gemcitabine sensitivity, patient-derived organoid models of biliary tract cancer (BTC) were established and characterized.Methods:This is an experimental study. The tissue specimens of BTC were collected from patients who underwent surgical resection at the Department of Hepatobiliary and Pancreatic Surgery,the Second Affiliated Hospital of Zhejiang University School of Medicine between January 2020 and December 2023. The tumor organoids were cultured in vitro and histologically characterized. Drug sensitivity testing was performed using gemcitabine,cisplatin,paclitaxel,fluorouracil,and lenvatinib etc. to evaluate cell viability. The correlation between the drug sensitivity of organoids and clinical therapeutic response was analyzed.Results:Thirty-eight patient-derived organoids (PDO) models were successfully established from 43 biliary tract malignancy patients with complete follow-up data,including gallbladder cancer PDO 14 cases,distal bile duct cancer PDO 16 cases,intrahepatic cholangiocarcinoma PDO 8 cases,achieving an overall success rate of 88.4%. Drug sensitivity testing (DST) was performed on the successfully generated PDO,with 35 models successfully completing DST experiments. The overall consistency rate between drug responses in PDOs and clinical survival outcomes in corresponding patients was 8/14. Transcriptomic analysis of gemcitabine-sensitive vs. gemcitabine-resistant PDO identified 71 differentially expressed genes in the resistant group,the significantly up-regulated genes including GLDC, LINC01595, IL-27, ANGPTL3, CYP7A1,and AKR1C1;the significantly down-regulated genes including P2RY2,LIPC,and ECHDC3. Conclusion:A biobank of patient-derived organoids of BTC has been established,which demonstrates its potential as preclinical models and tools for predicting chemotherapy responses for BTC patients.

Hepatocellular carcinoma is the most common type of primary liver cancer. Many patients who have been diagnosed with hepatocellular carcinoma are already at an advanced stage, leading to very limited treatment options and poor prognosis. Therefore, the key to improving prognosis is early-stage diagnosis. In recent years, with deeper analysis of the underlying biological mechanisms of HCC, new diagnostic methods have emerged, including emerging serum markers, liquid biopsy, molecular diagnostics, and imaging techniques. This article reviews and analyzes the research progress on early-stage screening and explores their value and application prospects in the early predictive diagnosis of HCC..

Objective:To explore the real experiences of patients during the preoperative decision-making process for metabolic-bariatric surgery, providing a reference for developing targeted decision-support interventions.Methods:This descriptive phenomenological study used purposive sampling to select 21 patients who underwent metabolic-bariatric surgery at Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, from September 2022 to February 2023. Interviews were conducted, and the data were analyzed using Colaizzi's seven-step method.Results:Four themes and 14 sub-themes were extracted: decision-making motivation (health threats, pursuit of higher quality of life, diminished self-esteem, family responsibility drive) ; pre-decision assessment (failure of other weight-loss methods, surgery as a last resort) ; decision-making dilemmas (low quality of accessible information, low social acceptance of surgery, lack of medical insurance coverage, concerns about surgical outcomes) ; and decision-making support (professional medical support, family support, peer support, self-support) .Conclusions:Patients considering metabolic-bariatric surgery have diverse decision-making motivations and face significant dilemmas. It is recommended that relevant authorities, healthcare providers, and family members work together to create a comprehensive decision-supportive environment from the patients' perspective.