Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

Objective To build a hospital data service portal system based on central authentication service(CAS)to solve the problems of dispersed user identity data and low management efficiency caused by independent operation of multiple systems.Methods The CAS-based hospital data service portal system was designed with B/S architecture and developed with Spring MVC framework,which implemented unified authentication with CAS technology and achieved standardized access protocols for integrated access,centralized management and service consolidation across various application systems.There were five functional modules involved in the system for homepage,workflow management,system administration,log management and message management.Results The system significantly enhanced user accessibility and data extraction efficiency,effectively reduced the complexity of system integration and operational maintenance burdens and ensured user privacy and data security.Conclusion The portal system provides users with an easy-to-use,secure and reliable data service portal,laying the foundation for building an efficient,intelligent and safe hospital data service system.

Objective To build a hospital data service portal system based on central authentication service(CAS)to solve the problems of dispersed user identity data and low management efficiency caused by independent operation of multiple systems.Methods The CAS-based hospital data service portal system was designed with B/S architecture and developed with Spring MVC framework,which implemented unified authentication with CAS technology and achieved standardized access protocols for integrated access,centralized management and service consolidation across various application systems.There were five functional modules involved in the system for homepage,workflow management,system administration,log management and message management.Results The system significantly enhanced user accessibility and data extraction efficiency,effectively reduced the complexity of system integration and operational maintenance burdens and ensured user privacy and data security.Conclusion The portal system provides users with an easy-to-use,secure and reliable data service portal,laying the foundation for building an efficient,intelligent and safe hospital data service system.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective:To evaluate the impact of self-crosslinked hyaluronic acid (SCH) gel on endometrium recovery after artificial abortion.Methods:A multicenter, prospective randomized controlled trial was conducted across 18 hospitals from December 2021 to February 2023, involving 382 women who underwent artificial abortion. Participants were randomly allocated to receive either treatment with SCH gel (SCH group) or no treatment (control group) in a 1∶1 ratio. The primary outcome was endometrium thickness in 14 to 18 days after the first postoperative menstruation. Secondary outcomes included changes in menstrual volume during the first postoperative menstruation, menstruation resumption within 6 postoperative weeks, time to menstruation resumption, duration of the first postoperative menstruation, and incidence of dysmenorrhea.Results:Baseline characteristics of participants were comparable between the two groups (all P>0.05), with 95.3% (182/191) in SCH group and 92.7% (177/191) in the control group completed the study. The postoperative endometrial thickness in SCH group was significantly greater than that in the control group [(9.78±3.15) vs (8.95±2.32) mm; P=0.005]. SCH group also had significantly fewer participants with reduced menstrual volume [23 cases (12.6%, 23/182) vs 31 cases (17.5%, 31/177); P=0.038]. Although SCH group experienced less dysmenorrhea during the first postoperative menstrual period, this difference was not statistically significant [28.5% (51/179) vs 37.1% (65/175); P=0.083]. Outcomes were similar between SCH group and the control group regarding the proportion of participants who resumed menstruation within 6 weeks postoperatively, time to menstruation resumption, and duration of the first postoperative menstruation ( P=0.792, 0.485, and 0.254, respectively). No serious adverse events were observed during the study period, and no adverse events were attributed to SCH gel treatment. Conclusion:The application of SCH gel after artificial abortion is safe and might aid in the recovery of the endometrium.

Objective To design a low-code platform for data services to reduce the data interface service development costs and improve the development efficiency.Methods The platform was developed with Browser/Server(B/S)architecture,which used JAVA Spring Boot as its main framework and MySQL as the backend database system and had the functions for data source management,service catalog management,service management,service testing,service release management and service subscription management.Results The platform decreased the costs for interface development,operation and maintenance,lowered the technical threshold of interface development,unified the interface standard and enhanced hospital data security.Conclusion The platform developed provides support for hospital data interface service,digitalization and data services.[Chinese Medical Equipment Journal,2024,45(4):13-19]

Objective To construct a big data sharing platform for clinical scientific research to solve the problems of clinical research in decentralized application systems and data sharing safety.Methods A clinical research information data usage management system was developed through the formulation of management methods in line with the actual situation of the institution,normalized standard data usage processes and a data usage service team.Then a clinical scientific research big data sharing platform including the components for sharing environment construction,research application integration,data desensitization and encryption and file management was established based on the existing hospital systems,the requirements of clinical research data usage management and the habits of clinical researchers.Results The platform realized the balance between open sharing of clinical research data and data security control,which improved the efficiency of clinical researchers while reducing data security risks during data transmission and data analysis.Conclusion The clinical scientific research big data sharing platform meets the needs of clinical scientific research application and data security management,and provides references for the co-construction-sharing of medical big data resources.[Chinese Medical Equipment Journal,2024,45(4):27-31]