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.

Li-Fraumeni syndrome(LFS)is a rare autosomal dominant genetic disorder.Patients with LFS tend to develop tumors at a young age and are at risk of multiple types of cancer.The core pathogenic mechanism of LFS is germline mutation of the TP53 gene,which leads to loss of function of the p53 protein and an increase in the risk of tumor development.There are many tumor types closely related to LFS,including soft tissue sarcoma,osteosarcoma,brain tumors,breast cancer,and adrenocortical carcinoma.Although some common mutation sites of the TP53 gene in LFS patients have been identified,there are still differences in mutation sites among different patients,and the type of TP53 gene mutation may affect the clinical manifestations and prognosis of patients.Therefore,genetic testing for LFS patients to determine the specific mutation form of TP53 is of great significance.This article reviews the clinical patho-logical characteristics,treatment methods,and prognosis of LFS-related tumor patients,aiming to provide useful refer-ences for clinical practice.

Purpose To investigate the differential expression of proteins secreted by diffuse-type gastric cancer-associated fibroblasts(DGC-CAFs)and intestinal-type gastric cancer-associated fibroblasts(IGC-CAFs)according to Lauren classification of gastric cancer.Methods Fresh surgery samples were acquired to extract primary cancer-asso-ciated fibroblasts(CAFs)to obtain the conditional medium,including three cases of diffuse-type gastric cancer(DGC)and three cases of intestinal-type gastric cancer(IGC).Then high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)was used to detect the differences in secreted factors between DGC-CAFs and IGC-CAFs.Additionally,a total of 1 174 cases were collected from the GEO and TCGA databases,and the distribution of stromal cells was assessed via ESTIMATE to derive stromal scores for both DGC and GC.Furthermore,Kaplan-Meier survival analysis was performed to evaluate the relationship between high stromal scores,elevated CAFs proportions,and patient prognosis.Subsequently,GO enrichment analysis was performed to investigate associated genes and their bi-ological functions.Results HPLC-MS/MS analysis showed that only 10 proteins were identified to be expressed in both DGC-CAFs and IGC-CAFs,namely SPARC,COL6A1,COL1A2,COL1A1,COL3A1,FN1,DCN,ACTG1,TIMP1 and SHROOM3.There were 8 proteins expressed higher in DGC-CAFs than IGC-CAFs in all cases with ratio＞2,namely COL3A1(5.28),COL1A2(3.98),DCN(3.71),TIMP1(3.40),COL6A1(3.35),ACTG1(3.13),COL1A1(2.84)and SHROOM3(2.50).Two other proteins,TUBB and BASP1,were identified in all three cases of DGC-CAFs.The former was only identified in one case of IGC-CAFs,while the latter was not identified in all three cases of IGC-CAFs.The results of bioinformatics analysis showed that the stromal score of DGC was higher than IGC,which correlated with poor prognosis.Analysis of cell components revealed that the related genes were more enriched in ECM,collagen-containing extracellular matrix and cell-cell junction.Also,the biological process and molecular function was based on the components,which was consistent with HPLC-MS/MS analysis results.Conclusion There are differ-ences in secreted proteins of DGC-CAFs and IGC-CAFs,both on the types and the content.The differential proteins are mostly enriched in ECM-related signaling pathways.Presumably,the high content of CAFs in the stroma affects the prognosis of gastric cancer patients by influencing the gene expression and the function of receptor pathway of ECM.

Atypical teratoid/rhabdoid tumor(AT/RT)is a rare,highly malignant central nervous system tumor with a poor prognosis and often occurs in children under 3 years of age.In this article,the clinicopathological features,molecular subtypes,pathogenesis,treatment,prognosis,relevant clinical trials,and existing problems of AT/RT will be reviewed to deepen the understanding of AT/RT.

Public hospitals have formed a relatively perfect working foundation in the introduction and training of young talents,but the evaluation system of young talents is not perfect.Based on the requirements of high-quality development,grasp the principle of party management of talents,combine the talents development situation in Jiading District Maternal and Child Health Care Hospital,takes the special training of young talents in administration as the starting point,comprehensively uses the literature method,interview method and Delphi method to establish the index database,uses the exploratory factor analysis meth-od to calculate the index weight,and constructs the evaluation model of young talents in hospital administrative management,so as to help hospitals better screen and evaluate talents and give full play to the value and role of talents as the first resource.

Li-Fraumeni syndrome(LFS)is a rare autosomal dominant genetic disorder.Patients with LFS tend to develop tumors at a young age and are at risk of multiple types of cancer.The core pathogenic mechanism of LFS is germline mutation of the TP53 gene,which leads to loss of function of the p53 protein and an increase in the risk of tumor development.There are many tumor types closely related to LFS,including soft tissue sarcoma,osteosarcoma,brain tumors,breast cancer,and adrenocortical carcinoma.Although some common mutation sites of the TP53 gene in LFS patients have been identified,there are still differences in mutation sites among different patients,and the type of TP53 gene mutation may affect the clinical manifestations and prognosis of patients.Therefore,genetic testing for LFS patients to determine the specific mutation form of TP53 is of great significance.This article reviews the clinical patho-logical characteristics,treatment methods,and prognosis of LFS-related tumor patients,aiming to provide useful refer-ences for clinical practice.

Purpose To investigate the differential expression of proteins secreted by diffuse-type gastric cancer-associated fibroblasts(DGC-CAFs)and intestinal-type gastric cancer-associated fibroblasts(IGC-CAFs)according to Lauren classification of gastric cancer.Methods Fresh surgery samples were acquired to extract primary cancer-asso-ciated fibroblasts(CAFs)to obtain the conditional medium,including three cases of diffuse-type gastric cancer(DGC)and three cases of intestinal-type gastric cancer(IGC).Then high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)was used to detect the differences in secreted factors between DGC-CAFs and IGC-CAFs.Additionally,a total of 1 174 cases were collected from the GEO and TCGA databases,and the distribution of stromal cells was assessed via ESTIMATE to derive stromal scores for both DGC and GC.Furthermore,Kaplan-Meier survival analysis was performed to evaluate the relationship between high stromal scores,elevated CAFs proportions,and patient prognosis.Subsequently,GO enrichment analysis was performed to investigate associated genes and their bi-ological functions.Results HPLC-MS/MS analysis showed that only 10 proteins were identified to be expressed in both DGC-CAFs and IGC-CAFs,namely SPARC,COL6A1,COL1A2,COL1A1,COL3A1,FN1,DCN,ACTG1,TIMP1 and SHROOM3.There were 8 proteins expressed higher in DGC-CAFs than IGC-CAFs in all cases with ratio＞2,namely COL3A1(5.28),COL1A2(3.98),DCN(3.71),TIMP1(3.40),COL6A1(3.35),ACTG1(3.13),COL1A1(2.84)and SHROOM3(2.50).Two other proteins,TUBB and BASP1,were identified in all three cases of DGC-CAFs.The former was only identified in one case of IGC-CAFs,while the latter was not identified in all three cases of IGC-CAFs.The results of bioinformatics analysis showed that the stromal score of DGC was higher than IGC,which correlated with poor prognosis.Analysis of cell components revealed that the related genes were more enriched in ECM,collagen-containing extracellular matrix and cell-cell junction.Also,the biological process and molecular function was based on the components,which was consistent with HPLC-MS/MS analysis results.Conclusion There are differ-ences in secreted proteins of DGC-CAFs and IGC-CAFs,both on the types and the content.The differential proteins are mostly enriched in ECM-related signaling pathways.Presumably,the high content of CAFs in the stroma affects the prognosis of gastric cancer patients by influencing the gene expression and the function of receptor pathway of ECM.

Atypical teratoid/rhabdoid tumor(AT/RT)is a rare,highly malignant central nervous system tumor with a poor prognosis and often occurs in children under 3 years of age.In this article,the clinicopathological features,molecular subtypes,pathogenesis,treatment,prognosis,relevant clinical trials,and existing problems of AT/RT will be reviewed to deepen the understanding of AT/RT.

Public hospitals have formed a relatively perfect working foundation in the introduction and training of young talents,but the evaluation system of young talents is not perfect.Based on the requirements of high-quality development,grasp the principle of party management of talents,combine the talents development situation in Jiading District Maternal and Child Health Care Hospital,takes the special training of young talents in administration as the starting point,comprehensively uses the literature method,interview method and Delphi method to establish the index database,uses the exploratory factor analysis meth-od to calculate the index weight,and constructs the evaluation model of young talents in hospital administrative management,so as to help hospitals better screen and evaluate talents and give full play to the value and role of talents as the first resource.

Objective:To establish a IgA nephropathy (IgAN) standard dataset for the structured and standardization of IgAN clinical information, which will be beneficial to the integration and utilization of clinical information among different medical institutions. Therefore, the IgAN Expert Collaboration Group composed the "IgA Nephropathy Standard Dataset".Methods:Referring to the domestic information standards, guidelines, data standard and consensus of related fields, based on electronic medical history, the patient identification number was used as the primary key of the system to collect information. By standardizing each data element in the data set, the standardization of the management system in data and information exchange, data collaboration and sharing was ensured, and a quality control system was developed.Results:This standard dataset included 607 data elements and 8 business domains, which were patient information, medical history information, physical examination, laboratory examination, assistant examination, renal pathology, drug treatment, and follow-up, respectively. Each module was composed of module name, data element name, English name, definition, range, reference standard, etc. At the same time, a corresponding quality control system was formulated to evaluate data quality from multiple dimensions such as completeness, standardization, accuracy, timeliness, and security for ensuring the high quality and security of the data.Conclusion:The IgAN standard dataset is established, which will contribute to the structuration and standardization of clinical information of IgAN patients.