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.

In this study, the pharmacodynamic substance basis of the therapeutic activity of different origin sources of the Tibetan medicinal herb Zha xun was evaluated, and the protective effect of the Zha xun, from Habahe county of Altay region, Xinjiang Uygur Autonomous Region; Gilgit region, Pakistan; Lhozhag county of Lhozhag city, Tibet Autonomous Region; Lhorong county of Chamdo city, Tibet Autonomous Region; and Jiulong county of Ganzi Tibetan Autonomous Prefecture, Sichuan Province, on 0.2% carbon tetrachloride (CCl₄)-induced acute liver injury in ICR mice was evaluated. The results showed that different sources of Zha xun significantly reduced serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) in the CCl₄-induced acute oxidative liver injury model, improved liver histopathological damage. Among them, Zha xun from Habahe County, Altay Region, Xinjiang Uygur Autonomous Region; Gilgit Region, Pakistan; and Lhorong County, Chamdo City, Tibet Autonomous Region significantly reduced the malondialdehyde (MDA) content in liver tissues (P < 0.05), increased the glutathione (GSH) content (P < 0.01), improved the oxidative stress in liver tissues. The preliminary evaluation of the hepatoprotective activity of Zha xun from different origins was carried out using the model of HepG2 cell injury induced by acetaminophen (APAP). The results showed that Zha xun from different origins could significantly inhibit APAP-induced hepatocellular injury and improve the survival rate of hepatocytes. The present study demonstrated that the different origins of Zha xun had definite hepatoprotective activities in vivo and ex vivo, among which, Zha xun from Lhorong County, Chamdo City, Tibet Autonomous Region, had stronger hepatoprotective activities. The animals used in this experiment and the related dispositions were in accordance with the requirements of animal welfare, and the experiment was approved by the Committee of Laboratory Animal Management and Use of the Institute of Pharmaceutical Sciences of the Chinese Academy of Medical Sciences (approval No. 00004024) before the experiment was carried out.

Platelets, small cell fragments in the blood that prevent bleeding, are closely associated with hemostasis and thrombosis and play an important role in the inflammatory response. Periodontitis is a chronic inflammatory disease caused by periodontopathogenic bacteria, resulting in local and systemic inflammatory responses that are associated with many systemic diseases. In recent years, several animal and human studies have demonstrated the correlation between periodontitis and platelets from three aspects: gingiva, and gingival crevicular fluid, and found that activated platelets play a very important role in the development and progression of periodontitis. Porphyromonas gingivalis and inflammatory mediators S100A8/A9 activate platelets, which then combine with leukocytes to form platelet-leukocyte aggregates. These aggregates can migrate into periodontal tissue, producing proinflammatory cytokines, thereby promoting the development and progression of periodontitis. Available studies also suggest that initial periodontal therapy reduces platelet activation and platelet-leukocyte aggregate formation, which may reduce the risk of cardiovascular diseases (CVDs) in patients with periodontitis. Additionally, studies found that antiplatelet drugs can inhibit periodontal inflammation and promote periodontal tissue repair and that P. gingivalis-induced expression of CD40L on platelets may be an important mediator between periodontitis and CVD. These reports suggest that platelets can serve as novel therapeutic targets for the treatment of periodontitis. This review aims to discuss the current literature on the correlation and interaction mechanisms between periodontitis and platelets.

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.

With the development of regeneration technology,intentional replantation(IR)has gradually become the important treat-ment.Some affected teeth that are difficult to be cured by conventional methods,such as refractory periapical periodontitis,radicular groove and combined periodontal-endodontic lesions,can be preserved through IR.IR is effective in the treatment of teeth with severe periodontal destruction.This article reviews the historical development,clinical operation and influencing factors,and provides refer-ence for exploring the treatment plan of IR for a single tooth with severe periodontal destruction and the preservation of patients'natural dentition.

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]

Objective:To analyze the learning styles of intensive care specialist nurses and to explore the application effects of the teaching method based on Kolb's learning style theory in intensive care specialist nurse training.Methods:Nurses who participated in the intensive care specialist nurse training in Chongqing during 2022 and 2023 were selected as the research subjects. Among them, the 49 nurses from 2022 were assigned to the control group, while the 50 nurses from 2023 were assigned to the experimental group. Before the training, the Kolb's Learning Style Scale was used to investigate the two groups of nurses. A new training method based on different learning styles was used in the experimental group, while the conventional training method was used in the control group. The theory, clinical practice, and satisfaction scores were compared between the two groups after training. SPSS 21.0 was used for the t-test, chi-square test, or Fisher's exact test. Results:The learning styles of the two groups were similar, with the highest proportion observed in divergent type, followed by assimilation type, and the lowest proportions in convergent type and compliant type, albeit without significant differences. The experimental group showed higher scores of theory, clinical practice, and satisfaction compared to the control group [(77.20±8.34) vs. (80.38±5.50), t=-2.24, P=0.027; (93.73±1.83) vs. (95.31±1.07), t=-5.20, P<0.001; (20.57±2.09) vs. (22.62±1.61), t=-5.46, P<0.001] Conclusion:The teaching method based on Kolb's learning style theory can improve the theory and clinical practice scores and the overall satisfaction of nurses who participate in the intensive care specialist nurse training.

‍Traditionally， the progression from compensated liver cirrhosis to decompensated liver cirrhosis has been considered an irreversible point in the natural history of the disease； however， with the suppression of underlying etiology， cure， and disease regression， this view is challenged by an increasing number of new evidence， and the idea of “recompensation of liver cirrhosis” is gradually being accepted. In recent years， scholars in China and globally have been exploring the specific definition of recompensation of liver cirrhosis and the clinical features of patients. By summarizing the recent studies on recompensation of liver cirrhosis in China and globally， integrating existing views， and analyzing related research evidence， this article points out the main challenges in the field of recompensation at this stage， including the lack of in－depth clinical and basic research， the need to define recompensation in the context of NAFLD， and related ethical issues， in order to provide new directions for future research in this field.

‍Nonalcoholic fatty liver disease （NAFLD） is a group of highly heterogeneous diseases closely associated with metabolic dysfunction. Sarcopenia is a syndrome caused by a continuous decline in muscle mass， strength， and function， and it is often accompanied by NAFLD. Insulin resistance is the main pathological mechanism for sarcopenia and NAFLD， and in addition， factors such as changes in proteins and branched‍-‍chain amino acid， hyperammonemia， intestinal flora， and endocrine dysfunction can also lead to sarcopenia and NAFLD. With the deepening of clinical research， many published prospective studies have confirmed the existence of a bidirectional and complex pathophysiological relationship between sarcopenia and NAFLD. This article reviews the bidirectional relationship between sarcopenia and NAFLD， discusses the common pathogenesis of sarcopenia and NAFLD， summarizes the challenges faced in this field， and proposes new directions for the research on the bidirectional relationship between NAFLD and sarcopenia.