OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

OBJECTIVE To investigate the improvement effects and mechanism of astragaloside Ⅳ （AS- Ⅳ ） on lipopolysaccharide （LPS）-induced neuroinflammation. METHODS BV2 cells were divided into control group， LPS group， AS-Ⅳ groups at concentrations of 20 and 40 μmol/L， and dexamethasone group （2 μmol/L）. Except for control group， neuroinflammation model was established with LPS （1 μg/mL） in other groups after medication. The levels of inflammatory factors [interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and nitric oxide （NO）] in cell supernatant were measured in each group. Mice were randomly divided into normal group， model group， positive control group （Aspirin enteric-coated tablet， 20 mg/kg）， AS-Ⅳ low- and high-dose groups （10， 20 mg/kg）， with 6 mice in each group. Mice in each group were administered the corresponding drug/normal saline via gavage/intraperitoneal injection， once a day， for 14 consecutive days. Except for normal group， other groups were intraperitoneally injected with LPS （250 μg/kg） 1 hour after daily administration of the drug/normal saline to establish neuroinflammation model. Serum levels of IL-6 and TNF-α were measured 2 h after the last medication； histopathological morphology of cerebral tissue in mice were observed； the co-localization of inducible nitric oxide synthase （iNOS）/ionized calcium binding adapter molecule 1 （Iba1） and CD206/Iba1 in the cerebral cortex region of mice was observed； the expressions of proteins related to the nuclear factor-κB （NF-κB）/mitogen-activated protein kinase （MAPK） signaling pathway in brain tissue of mice were also determined， including NF-κB p65， phosphorylated NF-κB p65（p-NF-κB p65）， p38 MAPK， phosphorylated p38 MAPK （p-p38 MAPK）， extracellular signal-regulated kinase （ERK）， and phosphorylated ERK （p-ERK）. RESULTS In the cell experiments， compared with control group， the levels of IL-6， TNF- α and NO in the cell supernatant of the LPS group were increased significantly （P＜0.05）； compared with LPS group， the levels of IL-6， TNF-α and NO were decreased significantly in the administration groups （P＜0.05）. In the animal experiments， compared with the normal group， the serum levels of IL-6 and TNF- α， the number of iNOS/Iba1 co-localization positive cells in the cerebral cortex， and the phosphorylation levels of p38 MAPK， NF- κB p65 and ERK proteins in brain tissue were all significantly increased/elevated in model group （P＜0.05）； the number of CD206/ Iba1 co-localization positive cells in the cerebral cortex region significantly decreased （P＜0.05）. The neurons in the cerebral cortex and the CA3 region of the hippocampus displayed a disordered arrangement. Compared with model group， above quantitative indexes of mice were all reversed significantly in administration groups （P＜0.05）； the neuronal cells in the cerebral cortex and the CA3 region of the hippocampus exhibited a relatively orderly arrangement. CONCLUSIONS AS-Ⅳ may inhibit the activation of the NF-κB/MAPK signaling pathway， promote the M2-type polarization of microglia， and thereby suppress neuroinflammatory responses.

Background Both productive dust and noise are occupational hazards, and each can induce changes in blood glucose levels among workers. Objective To explore the potential interactive effects of exposure to productive dust and noise on the risk of hyperglycemia among automobile manufacturing workers. Methods Using a cluster sampling method, workers undergoing occupational health examination from three automobile manufacturing plants in Wuhan in 2022 were selected. Basic information was collected using a questionnaire designed by the Chinese Center for Disease Control and Prevention. Exposure history was obtained through occupational history interviews. Clinic indicators such as blood pressure, blood lipids, fasting blood glucose (FBG), and fatty liver status, were retrieved from examination records. Hyperglycemia was defined as FBG > 6.1 mmol·L^-1. Logistic regression models analyzed the independent effects of occupational noise and dust exposure, while additive and multiplicative interaction models assessed their interactive effects on hyperglycemia. Results The prevalence of hyperglycemia among the 1223 participants was 7.7%. Logistic regression showed that using workers without exposure as reference, the odds ratios (OR) and 95% confidence intervals (CI) for hyperglycemia among workers exposed only to dust, only to noise, and to both were 2.15 (1.90, 4.23), 2.23 (1.40, 5.08), and 3.75 (1.95, 7.24), respectively. A linear association was observed between the duration of noise exposure and blood glucose levels (P<0.05). Interaction analysis showed no multiplicative interaction or additive interaction. Conclusion Exposure to productive dust and noise are independent risk factors for hyperglycemia among workers. While both contribute to increased risk, no significant synergistic interaction is observed.

Intracranial or extracranial artery stenosis is the major reason of ischemic stroke,which leads to insufficient cerebral blood flow perfusion and triggers cerebral dysfunction.The detection rate of unruptured intracranial aneurysm(UIA)combined with intracranial or extracranial artery stenosis is increasing with advances in diagnostic techniques for cerebrovascular disease.Due to the complexity of location and hemodynamic implications,there is no consensus on the treatment of UIA combined with intracranial or extracranial artery stenosis.This article summarized several types of UIA combined with intracranial or extracranial artery stenosis in terms of anatomical location,hemodynamics,and therapy strategies,aiming to provide references for clinical interventionalists.

Objective To investigate the efficacy of voriconazole in the treatment of pulmonary tuberculosis complicated with chronic pulmonary aspergillosis(CPA)based on CYP2C19 gene polymorphism detection and examine the factors affecting the efficacy for improving targeted therapy in clinical practice.Methods A total of 207 patients with pulmonary tuberculosis complicated with CPA treated in the Third People's Hospital of Kunming from December 2018 to November 2022 were randomly assigned to an observation group(105 cases)or a control group(102 cases).The patients in the control group received standard voriconazole treatment,while the patients in the observation group had their voriconazole regimen tailored based on CYP2C19 genotyping results.Plasma drug concentration levels,efficacy,and safety were compared between the two groups and in terms of CYP2C19 genotypes.Logistic regression analysis was used to identify the factors affecting treatment efficacy.Results The observation group showed significantly higher plasma voriconazole concentrations and overall antifungal efficacy compared to the control group(P＜0.05).In the observation group,CYP2C19 genotyping identified 37 extensive metabolizers(EM),47 intermediate metabolizers(IM),and 21 poor metabolizers(PM).Plasma concentration of voriconazole did not show significant difference between EM and IM(P＞0.05),but both PM and IM were associated with significantly lower plasma concentration of voriconazole than PM(P＜0.05).The clinical efficacy rate was 100％for PM,91.5％for IM,and 83.8％for EM(P＜0.05).The incidence of adverse events did not show significant difference among the three genotypes(P＞0.05).Logistic regression analysis revealed that lung cavitation,hypoalbuminemia,and agranulosis were significantly correlated with therapeutic efficacy(P＜0.05).Conclusions CYP2C19 gene polymorphism detection is valuable in clinical practice.It can inform anti-aspergillus therapy with voriconazole to effectively improve symptoms and clinical efficacy in patients with pulmonary tuberculosis complicated with CPA.Meanwhile,clinicians should be aware of the factors such as hypoproteinemia,agranulocytosis,and lung cavitation that may affect the efficacy of voriconazole.

Objective To investigate the characteristics of cognitive inhibition in children with hearing impairment and the impact of different types of materials on their cognitive inhibition.Methods From June,2024 to January,2025,21 children with hearing impairment from Liaocheng Special Education School and 20 typically developing children from Guotun Town Central Primary School in Yanggu County,Liao-cheng were randomly selected.A directed forgetting task was used in a mixed experimental design.The experi-mental procedure was presented using Eprime 3.0,and recall performance was recorded through paper-and-pen-cil tests.Results Three children with hearing impairment and two typically developing children were dropped down.The children with hearing impairment scored significantly lower on recall tasks than the typically developing children(F=13.545,P<0.001).In the typically developing children,recall performance under the memory condition was sig-nificantly lower than under the forgetting condition(P<0.001).In the children with hearing impairment,there was no significant difference in recall performance between the memory condition and the forgetting condition(P>0.05).Regardless of whether the materials were letters or figures,all the children showed significantly high-er recall scores under the forgetting condition compared to the memory condition(P<0.01).Conclusion Children with hearing impairment exhibit weaker cognitive inhibition compared to typically developing chil-dren.The type of materials doesn't impact individuals'cognitive inhibition performance.

Objective To investigate the efficacy of voriconazole in the treatment of pulmonary tuberculosis complicated with chronic pulmonary aspergillosis(CPA)based on CYP2C19 gene polymorphism detection and examine the factors affecting the efficacy for improving targeted therapy in clinical practice.Methods A total of 207 patients with pulmonary tuberculosis complicated with CPA treated in the Third People's Hospital of Kunming from December 2018 to November 2022 were randomly assigned to an observation group(105 cases)or a control group(102 cases).The patients in the control group received standard voriconazole treatment,while the patients in the observation group had their voriconazole regimen tailored based on CYP2C19 genotyping results.Plasma drug concentration levels,efficacy,and safety were compared between the two groups and in terms of CYP2C19 genotypes.Logistic regression analysis was used to identify the factors affecting treatment efficacy.Results The observation group showed significantly higher plasma voriconazole concentrations and overall antifungal efficacy compared to the control group(P＜0.05).In the observation group,CYP2C19 genotyping identified 37 extensive metabolizers(EM),47 intermediate metabolizers(IM),and 21 poor metabolizers(PM).Plasma concentration of voriconazole did not show significant difference between EM and IM(P＞0.05),but both PM and IM were associated with significantly lower plasma concentration of voriconazole than PM(P＜0.05).The clinical efficacy rate was 100％for PM,91.5％for IM,and 83.8％for EM(P＜0.05).The incidence of adverse events did not show significant difference among the three genotypes(P＞0.05).Logistic regression analysis revealed that lung cavitation,hypoalbuminemia,and agranulosis were significantly correlated with therapeutic efficacy(P＜0.05).Conclusions CYP2C19 gene polymorphism detection is valuable in clinical practice.It can inform anti-aspergillus therapy with voriconazole to effectively improve symptoms and clinical efficacy in patients with pulmonary tuberculosis complicated with CPA.Meanwhile,clinicians should be aware of the factors such as hypoproteinemia,agranulocytosis,and lung cavitation that may affect the efficacy of voriconazole.

Objective To explore how digital and intelligent technologies can optimize the storage allocation and picking paths for Traditional Chinese medicine decoction pieces.Methods Based on prescription information and medicine data from the hospital information system(HIS),this study employs MATLAB programming to use an integer linear programming(ILP)algorithm for optimizing the storage allocation of Traditional Chinese medicine decoction pieces.Additionally,a greedy algorithm is applied to optimize the picking paths to reduce the picking distance for pharmacists.Finally,an independent samples paired t-test is used to analyze the experimental data to verify the significance of the optimizations.Results A total of 7 734 prescriptions were collected from the HIS.The results of storage optimization showed that the total distance before optimization was(87.58±0.29)m,which was reduced to(85.35±0.28)m after optimization(P﹤0.000 1).The picking path optimization results showed that the picking path was(85.35±0.28)m before optimization and(40.06±0.11)m after optimization(P﹤0.000 1).The results of the independent samples paired t-test indicate that the path was significantly reduced after both storage and picking path optimizations,with statistical significance.Conclusion By using digital and intelligent methods,informatics pharmacists can effectively shorten the picking paths for Traditional Chinese medicine decoction pieces,improve dispensing efficiency,and reduce patient waiting times.

Purpose To explore the characteristics of gray matter(GM)volume changes in migraine patients using 7T MRI and voxel-based morphometry(VBM).Materials and Methods This prospective study enrolled 30 migraine patients and 41 age-and gender-matched healthy controls from Beijing Tiantan Hospital,Capital Medical University between November 2023 and November 2024.All participants underwent 7T MRI with 3D T1-weighted magnetization-prepared two rapid gradient-echo(MP2RAGE)sequences for structural brain imaging.VBM analysis was performed to quantify GM,white matter,cerebrospinal fluid and total brain volumes,followed by calculations of their relative percentages.The difference in GM volume between the two groups was compared to identify brain regions with characteristic GM volume changes in migraine patients.And the correlation between these characteristic GM volume alterations and clinical scales was analyzed.Results Migraine patients exhibited significantly lower total GM volume compared to healthy controls(t=2.096,P=0.040),while no group differences were observed in white matter or cerebrospinal fluid volumes(t=0.980,0.151;P=0.330,0.880).VBM analysis revealed reduced GM volume in the left orbitofrontal cortex(t=4.301,P=0.022),left hippocampus(t=5.226,P=0.006)and left parahippocampal gyrus(t=3.960,P=0.040)in the migraine group.Negative correlations were identified between:left orbitofrontal cortex GM volume and headache duration(r=-0.506,P=0.008),left hippocampal GM volume and patient health questionnaire-9 scores(r=-0.620,P=0.003),and left parahippocampal GM volume and visual analogue scale scores(r=-0.449,P=0.019).Conclusion VBM analysis based on 7T MP2RAGE data demonstrates characteristic GM volume reductions in the left orbitofrontal cortex,left hippocampus and left parahippocampal gyrus in migraine patients,with these structural alterations significantly correlate with depressive symptoms and headache burden.The observed microstructural abnormalities may reflect underlying pathophysiological mechanisms related to pain processing,emotional regulation and long-term disease burden in migraine.