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.

ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

OBJECTIVE To establish a scientific， systematic， multi-dimensional performance management system for pharmacy practice， so as to improve the efficiency and quality of pharmacy practice performance management in public hospitals. METHODS Based on the four dimensions of the balanced scorecard theory， finance， customer， internal process， learning and growth， reference indicators for pharmacy practice performance management were summarized. The Delphi method was used to screen indicators， and the analytic hierarchy process was applied to determine the weights of indicators. A pharmacy practice performance management system was then constructed. Based on this system， action plans were formulated and implemented. The effectiveness was evaluated from two aspects： customer reviews and changes in pharmacy practice outcomes. RESULTS A total of 28 reference indicators were summarized， and a performance management system for pharmacy practice was constructed， consisting of 4 primary indicators， 9 secondary indicators， and 20 tertiary indicators. Compared with action plans implementation before， the satisfaction of clinical departments was significantly improved， and 11 pharmacy practice performance management indicators were optimized after implementation. CONCLUSIONS A scientific and systematic performance management system for pharmacy practice has been successfully established， which can provide a reference for the innovation of hospital pharmacy practice management and the high quality development of pharmacy practice.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Objective To establish an animal model of anterior displacement of the temporomandibular joint disc in rabbits and ob-serve the pathological changes of condylar cartilage under stress by using HE staining,immunohistochemical staining and immunofluo-rescence staining.Methods Thirty adult New Zealand white rabbits were randomly divided into a Sham operation group and four ex-perimental groups,with six rabbits in each group.The Sham operation group underwent a sham operation,while the experimental groups were used to establish an animal model of anterior displacement of the temporomandibular joint disc.The experimental groups were further divided into a model group(no postoperative treatment),a 2-APB(TRPM7 inhibitor)group,a PDTC(NF-κB specific inhibitor)group,and a Diclofenac group.Two weeks after the operation,the experimental animals were sacrificed,and pathological sections of the condylar cartilage were made.HE staining was used to observe the pathological changes of the condylar cartilage,and immunohistochemical staining and immunofluorescence staining were used to observe the expression of NF-κB and its inflammatory fac-tors.Results ① HE staining showed that the pathological changes of the condylar cartilage were obvious at the 2nd week.Compared with the 2-APB group,PDTC group,and Diclofenac group,the pathological changes in the model group were more obvious.② Immu-nohistochemical staining showed that the expression of TRPM7,NF-κB,IL-1,IL-6,TNF-α and MMP-3 in the model group was higher than that in the sham operation group.After treatment with 2-APB,PDTC or diclofenac,the expression of TRPM7,NF-κB,IL-1,IL-6,TNF-α and MMP-3 decreased.③ Immunofluorescence staining showed that the expression of NF-κB in the model group was higher than that in the sham operation group.After treatment with 2-APB,PDTC or diclofenac,the expression of NF-κB decreased.Conclu-sion ① Under stress,the condylar bone undergoes early remodeling,and the apoptosis of condylar chondrocytes increases with the extension of loading time within a certain period.② Diclofenac,2-APB and PDTC can all reduce the apoptosis of condylar cells,and inflammatory factors also play an important role in the apoptosis of condylar chondrocytes.

Objective To investigate whether Piceatannol(PIC)improves diabetic retinopathy(DR)mediated by microglial polarization and to elucidate the underlying molecular mechanisms.Methods Network pharmacology and bioinformatics were used to analyze the common targets of DR,PIC,and microglia.Human retinal vascular endothelial cells(HRVECs)were cultured in vitro and randomly divided into the NG-HRVECs group,HG-HRVECs group,and HG+PIC-HRVECs group.Cell viability was assessed by the CCK-8 assay,apoptosis was detected by the TUNEL assay,and the concentrations of tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)were measured using ELISA kits.BV-2 cells were cultured in vitro and randomly divided into the NG-BV-2 group,HG-BV-2 group,HG+PIC-BV-2 group,HG+Si-NC-BV-2 group,HG+Si-CXCR4-BV-2 group,and HG+Ibrutinib-BV-2 group.The levels of arginase-1(Arg-1)and inducible ni-tric oxide synthase(iNOS)were measured using ELISA kits.Furthermore,conditioned medium(CM)from BV-2 cells of each group was collected to treat HRVECs,after which the viability,apoptosis rate,and TNF-α and IL-6 concentrations of the HRVECs were measured.A DR rat model was established and intervened with PIC to investigate the ameliorative effects of PIC on retinal pathology.Results Bioinformatics analysis identified CXCR4 as the key target of this study.Compared with the NG-HRVECs group,the apoptosis rate and the concentrations of TNF-α and IL-6 were increased in the HG-HRVECs group.Compared with the HG-HRVECs group,the HG+PIC-HRVECs group showed a decreased apoptosis rate and reduced concentrations of TNF-α and IL-6(all P＜0.05).Compared with the NG-BV-2 group,the HG-BV-2 group ex-hibited decreased Arg-1 levels and increased iNOS levels.Compared with the HG-BV-2 group,the HG+PIC-BV-2,HG+Si-CXCR4-BV-2,and HG+Ibrutinib-BV-2 groups all showed increased Arg-1 levels and decreased iNOS levels(all P＜0.05).Compared with the NG-BV-2-CM group,the HG-BV-2-CM group led to decreased viability,increased apoptosis rate,and in-creased concentrations of TNF-α and IL-6 in HRVECs.In contrast,the HG+PIC-BV-2-CM,HG+Si-CXCR4-BV-2-CM,and HG+Ibrutinib-BV-2-CM groups reversed the effects induced by HG-BV-2-CM on HRVECs(all P＜0.05).Animal experiment results showed that compared with DR model rats,rats treated with different doses of PIC exhibited significantly ameliora-ted retinal histopathological damage,and the protein expressions of Arg-1,iNOS,CXCR4,and p-BTK were reversed.Con-clusion PIC ameliorates DR progression mediated by microglial polarization by inhibiting the CXCR4/BTK pathway.

Objective:To summarize and analyze the clinical characteristics of pediatric pulmonary hypertension (PH) and the related factors affecting the prognosis，to provide a basis for the early diagnosis and treatment of the disease.Methods:The clinical data of 80 PH children hospitalized in the intensive care department of Children's Hospital of Capital Pediatric Research Institute from January 1,2019 to December 31,2022 were retrospectively analyzed,and general data,clinical symptoms, echocardiography, laboratory examination and treatment indicators were collected. According to survival death groups, multivariate Logistic regression was applied to analyze independent associated risk factors for PH death.Results:（1）Clinical characteristics of childhood PH: more common in infants, the average age of treatment was 0.9(0.3-5.3)years, the male to female ratio was 1.3∶1, and the average time from first symptoms to first diagnosis was 6.5 (2,14) days. The etiology of PH in children was complex, with arterial PH (PAH) (40%), pulmonary disease and(or) hypoxia (33.8%) being the most common. The main clinical manifestations were dyspnea, decreased activity endurance, poor appetite, and positive heart examination. Severe PH accounted for 53.8%, 30% of pulmonary hypertensive crisis.（2）Factors affecting the prognosis of childhood PH: childhood PH mortality was 20.8%, compared with the survival group, ICU length of stay, loss of appetite, decreased urine volume, cardiac function classification, right heart size, main pulmonary artery diameter/ascending aorta diameter ratio(MPAD/MAD), vasoactive inotropic score(VIS), use of invasive ventilator treatment had statistical significance (all P<0.05). A Logistic regression analysis of death-related factors showed that right heart enlargement ( OR=0.193,95% CI 0.040-0.919, P=0.039), higher MPAD/MAD value ( OR =11.883,95% CI 1.347-104.869, P=0.026), and higher VIS score ( OR= 1.029,95% CI 1.003-1.056, P=0.028) were independent risk factors for poor prognosis. Conclusion:（1）Children PH is mainly infants, the causes of PAH and pulmonary diseases, severe PH accounted for 53.8%, 30% of which have pulmonary hypertensive crisis.（2）An enlarged right heart, higher MPAD/MAD values, and higher VIS score are independent risk factors for death in children with PH.

Pediatric urological non-Hodgkin lymphoma is relatively rare.When a single renal or ureteral tumor with multiple lymph node or bone metastases is present, it is very easy to be misdiagnosed as urinary tumor with metastasis, resulting in unnecessary radical nephrectomy. This paper reports two cases of non-Hodgkin lymphoma presenting with single urinary nodules. Case 1 was diagnosed with a 4.5cm tumor in the right kidney due to fever and fatigue. CT and PET-CT showed multiple bone destruction and lymph node metastasis. Renal biopsy was performed and ALK-positive anaplastic large cell lymphoma was diagnosed. Chemotherapy was effective for 6 months. Case 2 was diagnosed with left hydronephrosis due to intermittent low back pain for 2 weeks. Ultrasound examination revealed ureteral dilation with left hydronephrosis and low echo occupying of the lower ureter. The patient had sudden blurred vision before surgery. MRI examination revealed space occupying in the right optic nerve frame, and PET-CT found multiple bone, lymph nodes and nerve invasion. A lymph node biopsy was performed and Burkitt lymphoma was diagnosed. After 6 months of chemotherapy and radiotherapy, the tumor shrank significantly.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

The aim of this study was to investigate the mechanism of quercetin in inhibiting the fer-roptosis induced by zearalenone(ZEN)via mediating the nuclear factor erythroid-2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)signaling pathway.IPEC-J2 cells were cultured in vitro and treated with ZEN(25 mg/L)and different concentrations of quercetin(10,20,40 μmol/L).Bi-ochemical methods were used to detect the levels of lactate dehydrogenase(LDH)in the cell cul-ture medium supernatant,total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glu-tathione(GSH),and malondialdehyde(MDA).Fluorescence probes were used to detect the levels of Fe2+,reactive oxygen species(ROS),and lipid peroxidation.Western blot was performed to de-tect the expression levels of Nrf2,long chain acyl CoA synthetase 4(ACSL4),and GPX4.The IPEC-J2 cells were divided into the control group,ZEN group,quercetin group,and ML385(Nrf2 inhibitor)+quercetin group for further analysis.Except for the control group,the other groups were treated with ZEN in the prescence of quercetin and ML385.The changes of Nrf2/GPX4 path-way-related proteins and ferroptosis-related indexes(LDH,Fe2+,MDA,and GSH)were detected.Compared with the control group,IPEC-J2 cells in the ZEN group exhibited a decrease in cell via-bility,T-AOC,and GSH,SOD levels,Nrf2,and GPX4 protein expressions(P＜0.05),while LDH release rate,Fe2+and ROS,lipid peroxidation,MDA levels,and ACSL4 protein expression de-creased in the ZEN group(P＜0.05).Compared with ZEN group,the cell viability,the levels of T-AOC,SOD and GSH,the protein expression of Nrf2 and GPX4 in quercetin groups were increased(P＜0.05),while the LDH release rate,the levels of Fe2+,ROS,lipid peroxidation,and MDA as well as the protein expression of ACSL4 were decreased(P＜0.05).Compared with the quercetin group,the protein expression of Nrf2 and GPX4 and the level of GSH in ML385+quercetin group reduced(P＜0.05),the LDH release rate and the levels of Fe2+and MDA increased(P＜0.05).In summary,quercetin could inhibit ZEN-induced ferroptosis of IPEC-J2 cells,and its mechanism may be related to the induction of Nrf2/GPX4 signaling pathway.