At present， the systematic excavation of the clinical experience and academic thought of the Sichuan school of Chinese medicine vis-à-vis its dominant disease entities remains fragmentary， and replicable paradigms are scarce. Confronted with empirical fragmentation， data heterogeneity and decision-making subjectivity， the standardised distillation， inheritance and clinical translation of these distinctive experiences has become a critical bottleneck constraining the development of the Sichuan school. The integration of artificial-intelligence technologies in data processing， pattern recognition and intelligent decision-making has rendered deep mining of traditional Chinese medicine（TCM） clinical knowledge and patterns imperative. Constructing an intelligent modern TCM diagnostic-therapeutic-evaluative system is now the obligatory route for inheritance and innovation in Chinese medicine， and simultaneously provides a technological breakthrough for intelligent decision paradigms in the dominant diseases of the Sichuan school. Accordingly， this study adopts the regional academic school as its point of entry， focuses on the dominant diseases of the Sichuan school， and proposes an innovative pathway of "four-dimensional data-multi-modal fusion-multi-agent decision-making". Specifically， four data dimensions are defined and instantiated： （Ⅰ） knowledge from classical medical literature and historical case records. （Ⅱ） objective four-diagnosis phenotypic data. （Ⅲ） master physicians' prescribing regularities. （Ⅳ） characteristic mechanisms of renowned formulae. Leveraging multi-modal data fusion and generative artificial intelligence， the entire causal chain of Famous Physicians and Renowned Formulas is explicated to reconstruct the diagnostic-therapeutic cognitive logic of the regional school. Finally， a multi-agent collective-decision model is established and refined for the dominant diseases of the Sichuan school， capable of generating precise， individualised treatment regimens and thereby advancing an intelligent diagnostic-therapeutic paradigm that delivers more efficient and accurate clinical decision support.

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.

Bone grafting is a primary method for treating bone defects. Among various graft materials, xenogeneic bone substitutes are widely used in clinical practice due to their abundant sources, convenient processing and storage, and avoidance of secondary surgeries. With the advancement of domestic production and the limitations of imported products, an increasing number of bone filling or grafting substitute materials isentering clinical trials. Relevant experts have drafted this consensus to enhance the management of medical device clinical trials, protect the rights of participants, and ensure the scientific and effective execution of trials. It summarizes clinical experience in aspects, such as design principles, participant inclusion/exclusion criteria, observation periods, efficacy evaluation metrics, safety assessment indicators, and quality control, to provide guidance for professionals in the field.
Humans ; Bone Substitutes/therapeutic use* ; Randomized Controlled Trials as Topic/methods* ; Consensus ; Bone Transplantation ; Research Design

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.

Aim To construct a model of vascular endothelial cell(EC)-specific gene knockout mice of tumor necrosis factor receptor-associated factor 2(Traf2)by using Cre-loxP technolo-gy,thus to provide basis for the research of vascular dysfunction-related diseases related to the regulation of vascular EC activity through TRAF2.Methods The Cre-loxP system was used to construct a mouse model with EC-specific knockout of Traf2 gene(Traf2flox/flox Tek-iCre+).The mouse genotype was identi-fied through PCR and gel electrophoresis.Primary vascular ECs were isolated from the mice using flow cytometry.The knockout efficiency of Traf2 in vascular ECs was validated by Western blot and immunofluorescence.The pathological changes in blood ves-sels and major organs of the mice were examined using hematox-ylin-eosin(HE)staining.The tube-forming ability of primary vascular EC was assessed using Matrigel tube formation.Results The knockout mice met the required genetic criteria.Flow cy-tometry results demonstrated the successful isolation of primary vascular EC,and TRAF2 expression in vascular EC of knockout mice was significantly reduced(P＜0.01).Histological results showed that TRAF2 expression in the vessel of knockout mice decreased,and the morphology had no significant changes in their blood vessels and major organs.The Matrigel tube forma-tion demonstrated that the tube-forming ability of primary vascu-lar EC from knockout mice was reduced.Conclusion Traf2 specific knockout mouse model in vascular ECs is successfully constructed,providing a reliable animal model for research into the regulatory mechanisms of TRAF2 on vascular ECs in vascular dysfunction related diseases.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

Objective:To evaluate the safety and feasibility of radical hepatectomy after conversion therapy in patients with initially unresectable advanced hepatocellular carcinoma (HCC).Methods:Clinical data of 72 patients with initially unresectable advanced HCC admitted to the Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University and the Department of Hepatobi-liary and Pancreatic Surgery, Henan Provincial People's Hospital from January 2020 to July 2024 were retrospectively collected, including 61 males and 11 females, aged (58.4±9.1) years. The clinicopathological data of the patients, such as tumor characteristics, conversion treatment regimens, perioperative data, and follow-up situations were analyzed to evaluate the therapeutic effect and safety.Results:Among the patients, there were five cases of China liver cancer staging Ⅰb, six cases of Ⅱa, 22 cases of Ⅱb, 32 cases of Ⅲa and sevene cases of Ⅲb. There were 53 patients scored as Child-Pugh A and 19 as Child-Pugh B. Conversion treatment fashion included immunotherapy combined with targeted therapy and immunotherapy plus targeted therapy combined with hepatic arterial chemoembolization or hepatic arteryinfusion chemotherapy. Liver resection after conversion therapy was as follows: 16 cases of right hemihepatectomy, 20 cases of left hemihepatectomy, 11 cases of mesohepatectomy, seven cases of right posterior hepatectomy, 1 case of caudate lobectomy, 17 cases of local resection. Postoperative pathology showed that there were 17 cases of pathologic complete response and 55 cases of pathologic partial response. One patient died of liver failure after surgery, while the rest had no major complications. The postoperative hospital stay was (13.1±5.1) d. The follow-up time was 21.5(10.2, 32.1) months. The multivariate Cox analysis demonstrated that pathologic partial response and adjuvant therapy duration shorter than 5 cycles were identified as independent risk factors-affecting both recurrence-free survival and overall survival in patients with HCC undergoing sequential surgery after conversion therapy (all P<0.05). Conclusion:Sequential surgical resection provides survival benefits for patients with initially unresectable and advanced HCC after conversion therapy, which is a safe and effective therapeutic strategy.

Objective To develop and validate risk prediction models utilizing five machine learning algorithms for assessing postoperative pulmonary infection(PPI)risk in lung cancer patients undergoing grade Ⅳ thoracoscopic surgery.Methods A retrospective cohort study included 2,380 lung cancer patients who underwent grade Ⅳ thoracoscopic surgery at a tertiary hospital in Shanghai(January 2022 to June 2024).Patients were stratified into training(n=1,665)and validation(n=715)cohorts.Five machine learning algorithms—Logistic regression(LR),artificial neural network(ANN),support vector machine(S VM),random forest(RF),and extreme gradient boosting(XGB)—were employed to construct predictive models.A nomogram was developed for clinical utility.Results Among 2,380 patients,226(9.5％)developed PPI.The Least Absolute Shrinkage and Se-lection Operator(LASSO)regression identified eight predictive variables:daily cigarette consumption,diabetes history,preoperative diffusing capacity,maximal tumor diameter,24-hour postoperative chest drainage volume,perioperative oral nutritional supplementation(ONS),postoperative urinary cathe-terization,and intraoperative pleural adhesion severity.All models demonstrated robust discrimina-tion,with area under the curve(AUC)values ranging from 0.862 to 0.947.The XGB model a-chieved superior performance(AUC=0.947,95％CI,0.937 to 0.962),followed closely by the LR model(AUC=0.926,95％CI,0.918 to 0.933).Conclusion Machine learning-based algo-rithms models effectively stratify PPI risk in lung cancer patients following grade Ⅳ thoracoscopic surgery.The derived nomogram provides a practical tool for perioperative risk management by healthcare providers.

Objective To compare the efficacy of tegoprazan and esomeprazole in treatment of reflux esophagitis(RE)and analyze the influencing factors for treatment failure.Methods A total of 120 RE patients were selected as study subjects and divided into control group(treated with esome-prazole)and observation group(treated with tegoprazan)using random number table method,with 60 cases in each group.The clinical efficacy and gastroscopic efficacy of the two groups were com-pared.Based on the gastroscopic assessment results,the patients were divided into failure group(26 cases)and success group(94 cases).The clinical data of the failure group and the success group were collected and compared.Multivariate Logistic regression analysis was used to screen the influen-cing factors for treatment failure in RE patients.Results The total clinical effective rate in the ob-servation group was 93.33％(56/60),which was higher than 76.67％(46/60)in the control group(P＜0.05).The total effective rate under gastroscopy in the observation group was 88.33％(53/60),which was higher than 68.33％(41/60)in the control group,and the difference was statistically significant(P＜0.05).The proportions of patients with body mass index(BMI)＞28 kg/m2,diabe-tes,a family history,Helicobacter pylori(Hp)infection,Los Angeles classification(LA classifica-tion)of gastroesophageal reflux disease(GERD)grade C to D,and treated with esomeprazole in the failure group were all higher than those in the success group,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis showed that BMI＞28 kg/m2,con-comitant diabetes,LA classification grade C to D,and treatment with esomeprazole were all inde-pendent risk factors for treatment failure in RE patients(P＜0.05).Conclusion Tegoprazan has a significant clinical effect in treatment of RE,and its efficacy is superior to that of esomeprazole.BMI＞28 kg/m2,concomitant diabetes,LA classification grade C to D,and treatment with esome-prazole are all risk factors for treatment failure in RE patients.