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.

ObjectiveTo investigate the efficacy of sequential tenofovir alafenamide fumarate （TAF） therapy versus the regimen of entecavir （ETV） combined with TAF in chronic hepatitis B （CHB） patients experiencing low-level viremia （LLV） after ETV therapy， as well as their impact on virologic response， liver and renal function， and blood lipid levels. MethodsA total of 217 CHB patients with LLV after ETV treatment who were admitted to Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from May 2020 to December 2023 were enrolled， and according to the treatment regimen， they were divided into TAF group （180 patients receiving sequential TAF therapy） and combined group （37 patients receiving ETV+TAF therapy）. The propensity score matching （PSM） method was used to match the patients at a ratio of 1∶1， and finally 37 patients were included in each group to balance the baseline confounding factors. The two groups were compared in terms of hepatitis B virus DNA （HBV DNA） clearance rate， hepatitis B envelope antigen （HBeAg） clearance rate， liver and renal function parameters （liver stiffness measurement ［LSM］， platelet count ［PLT］， aspartate aminotransferase ［AST］， alanine aminotransferase ［ALT］， and creatinine ［Cr］）， blood lipid levels （total cholesterol ［TC］， triglyceride ［TG］， high-density lipoprotein cholesterol ［HDL-C］， and low-density lipoprotein cholesterol ［LDL-C］）， and the incidence rate of adverse reactions. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the paired t-test was used for comparison within each group； the chi-square test was used for comparison of categorical data between groups. ResultsAfter 48 weeks of treatment， compared with the TAF group， the combined group had significantly higher HBV DNA clearance rate （86.49% vs 59.46%， χ²=6.852， P=0.009） and HBeAg clearance rate （59.46% vs 35.14%， χ²=4.391， P=0.036）. After treatment， compared with the TAF group， the combined group had significantly lower levels of LSM （7.01±1.50 kPa vs 7.90±1.68 kPa， t=2.404， P=0.019）， AST （18.02±2.28 U/L vs 21.12±2.85 U/L， t=5.166， P<0.001）， and ALT （19.85±3.86 U/L vs 22.00±3.90 U/L， t=2.383， P=0.020） and significantly higher levels of PLT ［（218.35±42.60）×10⁹/L vs （192.82±44.13）×10⁹/L， t=2.532， P=0.014］ and Cr （70.92±6.54 μmoL/L vs 67.60±6.13 μmoL/L， t=2.253， P=0.027）. After treatment， there was a slight increase in the level of TC in both the TAF group （5.60±0.89 mmol/L vs 5.18±0.85 mmol/L， t=2.076， P=0.041） and the combined group （5.45±0.80 mmol/L vs 5.02±0.83 mmol/L， t=2.269， P=0.026）. There was no significant difference in the incidence rate of adverse reactions between the TAF group and the combined group （21.62% vs 18.92%， χ²=0.084， P=0.772）. ConclusionFor ETV-treated CHB patients experiencing LLV， compared with sequential TAF therapy， the ETV+TAF combined therapy can effectively increase virologic response rate， alleviate liver fibrosis， and improve liver function， whereas sequential TAF therapy has less impact on renal function. Sequential or combined therapy with TAF may induce a slight increase in the level of TC， which should be taken seriously in clinical practice.

Digital government refers to the wide application of digital technology in government management and services, promoting the optimization of government governance processes, model innovation, and performance enhancement, and building a new form of digital and intelligent government operation. Laboratory animal management is an important national foundational and strategic support work. It is closely related to digital government construction, and is not only an important part of digital government construction but also a typical application of government digital transformation in the field of science and technology. Digital transformation empowering laboratory animal management is a new proposition of government governance in the digital age, and research on its systematic and holistic reform is crucial. Through digital technologies such as artificial intelligence, big data, and cloud computing, the government can optimize approval process, strengthen in-process and post-event supervision, and promote regional coordination, thereby improving laboratory animal management capacity and service levels. In addition, laboratory animal data sharing contributes to government scientific decision-making and industry supervision. This article summarizes the experience and practices of domestic leading regions in recent years, reviews the background and development process of digital transformation of laboratory animal management in Jiangsu Province, describes the current status of such digital transformation in Jiangsu Province across areas including digital infrastructure, data sharing, and government services, analyzes existing challenges in top-level design, data governance, and data sharing, and, focusing on institutional mechanisms, government functions, data governance, and support systems, puts forward corresponding transformation ideas, frameworks, and pathways and provides an outlook. Thereby it provides a reference for the high-quality development of laboratory animal management in Jiangsu Province and other regions.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective: Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood. Methods: This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken. Results: In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies. Conclusion This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

AIM:To investigate the protective effect and mechanism of zinc ions on lung ischemia/reperfusion injury(LIRI)in rats.METHODS:SPF SD rats aged 6～8 weeks were divided randomly into 4 groups:control(control)group,ischemia/reperfusion(I/R)group,zinc chloride(ZnCl2)+I/R group,and PI3K inhibitor(LY294002)+ZnCl2+I/R group.Inductively coupled plasma mass spectrometry(ICP-MS)was used to measure the concentration of zinc ions in lung tissues,while the degree of lung tissue injury was assessed by HE staining,the alveolar damage index,and the lung wet/dry weight ratio.qPCR was used to detect the mRNA expression of solute carrier family 39 member 8(SLC39A8/ZIP8),with the TUNEL assay used to determine the level of apoptosis in lung tissue.The phosphorylation levels of caspase3,PI3K,AKT,GSK-3β,ZIP8,and solute carrier family 30 member 9(SLC30A9/ZNT9)were detected by Western blot,while the mitochondrial membrane potential was measured by the mitochondrial extraction kit and JC-1 mitochondrial mem-brane potential detection kit.RESULTS:Compared with the I/R group,the zinc ion level in the ZnCl2+I/R group in-creased(P<0.01),with the qPCR results showing that the expression level of ZIP8 also increased(P<0.01).The West-ern blot results demonstrated that the phosphorylation levels of PI3K/AKT/GSK-3β and cleaved caspase-3/pro were both in-creased(P<0.01 or P<0.05).In addition,the level of caspase-3 was decreased(P<0.01),the ZIP8 level was increased(P<0.05),whereas the level of ZNT9 was not significantly different(P>0.05).The mitochondrial membrane potential was increased(P<0.01)and the level of apoptosis was decreased(P<0.01).The results of HE staining,total lung water(TLW),lung index of quantitative assessment of histology(IQA),and lung tissue wet/dry weight ratio showed that the de-gree of injury was reduced significantly(P<0.05 or P<0.01).Compared with the ZnCl2+I/R group,the LY294002+Zn-Cl2+I/R group had a significant reduction in zinc ion levels(P<0.05),while qPCR showed a significant reduction in ZIP8 expression(P<0.01).Western blot showed that the phosphorylation level of PI3K/AKT/GSK-3β was decreased(P<0.01),the level of caspase-3/pro-caspase-3 was increased(P<0.01)the level of ZIP8 was decreased(P<0.05),al-though there was no significant difference in ZNT9(P>0.05).Measurements of the mitochondrial membrane potential demonstrated a significant decrease(P<0.01),while the TUNEL results showed that the level of apoptosis had increased(P<0.05).HE staining,TLW,IQA and lung tissue wet/dry weight ratio indicated that the degree of injury was aggravated significantly(P<0.05 or P<0.01).CONCLUSION:Administration of zinc chloride in rats has a protective role in lung ischemia/reperfusion injury by activating the PI3K/AKT pathway,leading to inactivation of GSK-3β,stabilization of the mitochondrial membrane potential level,and inhibition of cell apoptosis.

Objective:To explore the relationship between international collaboration papers and academic impact in global health,using the member universities of the Chinese Consortium of Universities for Global Health(CCUGH)as a case study.Methods:The study focuses on journal articles in global health field published by 31 CCUGH member universities between 2014 and 2024.Descriptive statistical analysis of international and non-international collaboration publication volumes was conducted using Excel.Regression analysis and chi-square tests were performed using R to examine the relationship between international collaboration papers and academic impact,and the correlation between the breadth of collaboration and the academic impact of the papers.Results:From 2014 to 2023,the total number of publications,the number of non-international collaborationpublications,and the number of internationally collaborated publications all showed a consistent annual increase,with average annual growth rates of 56.7%,68.3%,and 41.4%,respectively.By the first half of 2024,the total number of publications had increased to 1.5 times that of the corresponding period in 2023.International collaboration positively influenced academic impact,with broader collaborative networks correlating with higher academic influence.Conclusion:The global health publication output of CCUGH member universities has steadily increased,but the volume of international collaboration papers and their proportion remain relatively low.Therefore,it is necessary for CCUGH member universities to strengthen international collaboration papers in global health.

Purpose To investigate the predictive value of placental microflow combined with serum cystatin C(Cys C)for late-onset preeclampsia(LOP).Materials and Methods This was a prospective study including 188 singleton pregnant women who underwent prenatal ultrasound examination and delivered in the First Affiliated Hospital,School of Medicine,Shihezi University from October 2021 to October 2022.The placental microvascular indexes,including vascularization index,flow index and vascularization-flow index(VFI),were detected by three-dimensional power Doppler ultrasound in the second trimester,and the serum Cys C level was detected.The pregnancy outcome of the pregnant women was divided into LOP group and normal group(NLOP group),and the predictive value of placental microflow combined with serum Cys C for LOP was analyzed.Results Placental vascularization index and VFI of the LOP group were lower than those of the NLOP group(29.77±11.97 vs.44.44±9.86,9.23±3.51 vs.15.05±4.38).However,serum Cys C in the LOP group was higher than that in the NLOP group[(1.13±0.17)mg/L vs.(0.84±0.18)mg/L],and the differences were statistically significant(t=-3.616,-4.790,4.682,all P<0.05).The area under the curve of placental VFI combined with serum Cys C for predicting LOP was 0.899,which had the highest predictive value.Conclusion Placental VFI combined with serum Cys C detection can help to improve the prediction efficiency of LOP,and it is better than each single item.