This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Objective: To understand the awareness of chikungunya fever knowledge and its related factors among medical college students in Baise City, so as to provide a scientific basis to offer relevant courses and special education. Methods: From July to August 2025, 7 286 enrolled medical students were selected by a sampling method from a medical college in Baise City to participate in the questionnaire survey. The questionnaire covered epidemiological characteristics, clinical symptoms, and prevention/control knowledge of chikungunya fever. Statistical analyses including the Chi quare test and multivariate Logistic regression models were performed. Results: The overall awareness rate of chikungunya fever knowledge among the medical students was 18.89%. Among the knowledge items, the awareness rate of "the high incidence season" was the highest (84.05%), while that of "the infectious period" was the lowest (17.80%). Multivariate Logistic regression analysis showed that medical students with female (a OR= 1.37 , 95%CI =1.20- 1.57 ), the age for over 25 years old (a OR=1.76, 95%CI =1.05-2.93), whose father had a middle school educational level (a OR=1.18, 95%CI =1.05-1.31), and majored in preventive medicine (a OR=1.54, 95%CI =1.10-1.67) had relatively higher awareness rates of chikungunya fever knowledge (all P <0.05). In contrast, students of Zhuang ethnicity (a OR= 0.87 , 95%CI =0.76-0.98) and majoring in nursing (a OR=0.74, 95%CI =0.61-0.91) or pharmacy (a OR=0.70, 95%CI =0.52-0.95) had relatively lower awareness rates (all P <0.05). Conclusions The awareness rate of chikungunya fever related knowledge among medical college students in Baise City is relatively low. Schools should take targeted publicity measures to improve medical students awareness.

OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

Purpose: Due to the preservation of the entire stomach after endoscopic resection, the occurrence of metachronous gastric cancer (MGC) remains a possibility. In this study, we investigated the incidence and risk factors for MGC in patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) and successfully eradicatedHelicobacter pylori. Materials and Methods: A retrospective analysis was conducted of 1,191 patients who underwent ESD and successfully eradicated H. pylori at the Affiliated Drum Tower Hospital of Nanjing University. Endoscopic surveillance was performed at 3, 6, and 12 months post-resection, and annually thereafter. MGC was defined as the development of a new cancer at a site other than the primary gastric cancer site, at least 1 year after the initial endoscopic resection. Results: A total of 77 patients were diagnosed with MGC during a median follow-up of 41.5 months. Kaplan-Meier analysis showed a 5-year cumulative incidence of MGC of 9.4% after successful H. pylori eradication. Multivariate analysis of the training set using Cox proportional hazards models identified male sex, severe atrophic gastritis, multiple gastric cancers before H. pylori eradication, and smoking history as independent risk factors for MGC.The nomogram exhibited favorable discrimination, with area under the curves of 0.767 and 0.822 in the training set and 0.724 and 0.745 in the testing set at 3 and 5 years, respectively. Conclusions Patients with gastric cancer who undergo endoscopic resection, even after successful H. pylori eradication, should undergo annual and continuous endoscopic surveillance for MGC.

Biohybrid robots are hybrid systems that deeply integrate living biological components （such as cells, tissues, organs, or microorganisms） with artificial synthetic components （including sensors, actuators, control systems, and structural materials）. Focusing on key advancements in cellular/microbial-level and tissue-level biohybrid robots, the applications in two major scenarios: targeted drug delivery in vivo and drug evaluation in vitro were reviewed. International research progress demonstrated that biohybrid robots offered novel solutions for overcoming deep tissue delivery barriers, enhancing biocompatibility, and enabling real-time monitoring. However, their clinical translation still faced critical challenges, including reproducibility, in vivo/in vitro nutrient supply, encapsulation technologies, and safety regulatory frameworks.

Objective: To explore the interactive mechanisms of middle school students lifestyle with depressive and anxiety symptoms, so as to provide a basis for constructing a precise prevention system of middle school students mental health. Methods: From October to December in 2024, a stratified cluster random sampling method was used to select 6 251 middle school students from Guangxi. The Lifestyle Questionnaire, Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 ( GAD- 7) were used to investigate middle school students lifestyle, depressive symptoms and anxiety symptoms. The relationship of adolescent lifestyle with depressive and anxiety symptoms was analyzed through binary Logistic regression. The network analysis method was used to construct the network of middle school students lifestyle with depressive and anxiety symptoms. Results: A total of 1 690 individuals (27.0%) exhibited depressive symptoms, and 1 071 individuals (17.1%) exhibited anxiety symptoms. Binary Logistic regression analysis revealed that smoking, alcohol consumption, excessive intake of sugary drinks, insufficient vegetable intake, not eating breakfast daily, frequent consumption of fast food, prolonged sedentary time on both weekdays and weekends, insufficient sleep duration on weekdays and weekends, and excessive screen time on weekdays were all associated with depressive symptom ( OR =1.19-2.07) and anxiety symptom ( OR =1.20-1.91) in middle school students(all P ＜0.05). Additionally, excessive screen time on weekends was associated only with depressive symptoms ( OR =1.35, P <0.05). The connection between the lifestyle-depressive symptom cluster was mainly through "breakfast" and "suicidal ideation" (weight=0.31); the connection between the lifestyle-anxiety symptom cluster was mainly through "sedentary time on weekdays" and "uncontrollable worry" (weight=0.34). In the depressive symptom network, "depressed mood" had the highest node strength; in the anxiety symptom network, "uncontrollable worry" had the highest node strength. "Suicidal ideation" was a key bridge node between lifestyle and depressive and anxiety symptoms. Conclusions Unhealthy lifestyles are significant modifiable risk factors for depressive and anxiety symptoms among middle school students. Regular breakfast intake and management of sedentary behavior should be prioritized as important intervention entry points.

Abdominal aortic aneurysm(AAA)is a degenerative vascular disease occurring in the lower segment of the aortic diaphragm,mainly manifested by irreversible dilatation of the entire artery,preferably in the elderly population.The pathogenesis of AAA is complex and involves multiple factors,with genetic variations and immune imbalances playing important roles.Its pathological changes mainly include inflammatory cell infiltration,degradation of stromal elastin,and smooth muscle cell death.Rupture of AAA is the most dangerous complication,with a high mortality.Surgery remains the only effective intervention,but carries certain risks and postoperative complications.Early intervention for small abdominal aortic aneurysms to slow down aneurysm expansion and achieve long-term survival is currently a focus of drug and technology research.This article reviews the pathogenesis of AAA and its intervention strategies,and summarizes the research on existing drugs and the use of new targets and technologies,so as to provide insights for better understanding and treatment of AAA.

Objective To independently design a protective restraint band used for the interventional catheter bed and to evaluate its application effect.Methods The self-designed restraint belt consisted of a restraint belt body,first movable band and second movable band.A total of 200 patients,who received interventional operation at the Affiliated Run Run Shaw Hospital,School of Medicine of Zhejiang University of China from October 2022 to March 2023,were collected for this study.The patients were divided into the study group(n=100,using the self-designed restraint belt)and the control group(n=100,not using the self-designed restraint belt).The duration of surgical interruption due to patient's factors and the incidence of restraint belt-related adverse events were compared between the two groups.Results The duration of surgical interruption of the study group was(0.26±0.12)min,which was significantly shorter than(1.46±0.50)min in the control group,the difference was statistically significant(t=-23.570,P＜0.01).The incidence of restraint belt-related adverse events in the study group and the control group was 0％and 7％respectively,the difference was statistically significant(x2=6.380,P=0.012).Conclusion The protective restraint band used for the interventional catheter bed can reduce the incidence of restraint belt-related adverse events and improve surgical efficiency.

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective:To investigate the impact of receptor-interacting protein kinase 3 (RIPK3) on major adverse cardiovascular events (MACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI), as well as the predictive performance of RIPK3 combined with traditional cardiovascular risk factors.Methods:This study was a single-center prospective cohort study. It included patients with AMI who underwent PCI at Peking Union Medical College Hospital between September 2017 and November 2017. Baseline clinical data were collected, and plasma samples were obtained 6 hours after PCI to measure RIPK3 levels. Follow-up was conducted via outpatient visits or phone calls to record the occurrence of MACE, including cardiovascular death, hospitalization for heart failure, and vascular events (recurrent AMI or stroke). The predictive performance of RIPK3, traditional cardiovascular risk factors and their combination for MACE was compared using receiver operating characteristic (ROC) curves. Patients were divided into low- and high-RIPK3 level groups based on the optimal cutoff value of RIPK3. Multivariate Cox proportional hazards regression analysis was used to assess the impact of RIPK3 levels on MACE after PCI in AMI patients. Kaplan-Meier survival curves were plotted, and the log-rank test was used to compare MACE incidence between the low-and high-RIPK3 groups.Results:A total of 103 AMI patients who underwent PCI were included, aged 63.0 (56.0, 69.0) years, and 83 (80.6%) were male. The follow-up time was 5.17 (2.81, 5.17) years, during which 44 patients (42.7%) experienced MACE. The ROC curve analysis showed that the area under the curve ( AUC) for traditional cardiovascular risk factors was 0.68 (95% CI: 0.58-0.78), while the AUC for plasma RIPK3 was 0.72 (95% CI: 0.62-0.82). The combined AUC for traditional risk factors and RIPK3 was 0.75 (95% CI: 0.65-0.85). Multivariate Cox proportional hazards regression analysis indicated that plasma RIPK3 level is greater than or equal to the optimal cutoff value of 440.9 μg/L ( HR=3.31, 95% CI: 1.53-8.30, P=0.005) was an independent risk factor for MACE in AMI patients after PCI. Kaplan-Meier survival analysis demonstrated that the high-RIPK3 group had a significantly higher risk of MACE after PCI compared to the low-RIPK3 group (log-rank P=0.006). Conclusions:Elevated plasma RIPK3 level is an independent risk factor for MACE in AMI patients after PCI. Plasma RIPK3 combined with traditional cardiovascular risk factors can more effectively predict the occurrence of MACE in AMI patients after PCI. AMI patients with RIPK3≥440.9 μg/L have a higher risk of MACE after PCI.