Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

This paper summarizes professor ZHOU Zhongying's clinical experience in differentiating and treating miscellaneous internal diseases using Erjia Longgu Decoction （二加龙骨汤）. It is proposed that Erjia Longgu Decoction exerts the effects of clearing the upper and warming the lower， nourishing yin and suppressing yang， and harmonizing yin and yang， applicable for miscellaneous internal diseases characterized by the core pathogenesis of insufficient ying-yin （营阴） and floating deficient yang. In clinical practice， treatment is tailored according to individual patient conditions， with emphasis placed on gentle and flexible medication use. Erjia Longgu Decoction is used as the foundational formula with appropriate modifications， and has been widely applied in the management of miscellaneous internal diseases， such as dizziness， palpitations， insomnia， nocturnal emission， cold intolerance， and sweating disorders， offering new perspectives for the expanded application of classical formulas.

To explore the latent profile characteristics of fear of progression (FoP) in patients with Behçet′s disease (BD) and analyze its influencing factors.

As a second-generation immunomodulatory imide drug, lenalidomide enhances immunomodulatory effects while reducing neurotoxicity. It synergistically regulates adaptive and innate immune responses through both cereblon (CRBN)-dependent and independent mechanisms, and also exerts multiple biological effects including anti-angiogenesis and anti-fibrosis. Therefore, it has been gradually explored for the treatment of rare immune-mediated inflammatory diseases (IMIDs) in recent years. Existing studies suggest that lenalidomide has potential therapeutic efficacy in diseases such as immunoglobulin G4-related disease and Behçet'sdisease. However, relevant evidence is mainly derived from case reports, and its optimal dosage, applicable populations and long-term safety remain to be further verified. This review summarizes the mechanisms of action of lenalidomide and the research progress of its application in rare IMIDs, with the aim of providing references for future mechanistic exploration and clinical practice.

OBJECTIVES: This study aimed to explore the potential target and molecular mechanism of Eclipta prostrata L-Ligustrum Lucidum Ait (EPL-LLA) in the treatment of periodontitis by using network pharmacology and molecular docking technology, and to explore its biocompatibility, regulatory effects on inflammatory factors, and antioxidant acti-vity through in vitro experiments. METHODS: The active components and potential targets of EPL-LLA were screened and predicted through a variety of databases, and the intersection of EPL-LLA and periodontitis targets was selected. The protein interaction network (PPI) was analyzed by the string platform. The Metascape database was used for gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. The active ingredients from the top 6 degrees were docked with the core targets, and the results of binding energy were visualized. An in vitro cell model was established to evaluate the biocompatibility, modulation of inflammatory factors, and antioxidative effects of EPL-LLA through cell counting kit-8 (CCK-8), quantitative real-time polymerase chain reaction (qRT-PCR) and 2',7'-Dichlorodihydrofluorescein diacetate (DCFH-DA) fluorescent probe assays. RESULTS: Screening revealed 13 active components in EPL corresponding to 220 potential targets, 10 active components in LLA corresponding to 283 potential targets, and 1 643 periodontitis-related targets, with 91 shared targets among the three. GO analysis of the shared targets yielded 5 271 entries, while KEGG enrichment analysis indicated involvement in 253 signaling pathways. Molecular docking confirmed stable binding between the top 6 active components and core targets. CCK-8 assays demonstrated good biocompatibility of EPL-LLA at concentrations 0.02 mg/mL (P<0.05). qRT-PCR showed that EPL-LLA reduced the mRNA expression of pro-inflammatory factors in macrophages stimulated by Porphyromonas gingivalis lipopolysaccharide while upregulating anti-inflammatory factor mRNA expression (P<0.05). DCFH-DA fluorescence probe assays confirmed the reactive oxygen species (ROS)-scavenging capacity of EPL-LLA (P<0.05). CONCLUSIONS EPL-LLA may treat periodontitis through multi-component, multi-target, and multi-pathway mechanisms, providing a theoretical basis for further research on its therapeutic potential.
Periodontitis/drug therapy* ; Molecular Docking Simulation ; Eclipta/chemistry* ; Humans ; Protein Interaction Maps ; Ligustrum/chemistry* ; Antioxidants/pharmacology* ; Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology

Oral health is closely related to facial aesthetics, mastication, pronunciation, and systemic diseases. Flexible sensors can improve current deficiencies in clinical diagnosis and treatment through oral health monitoring. This paper reviews the research on and application of flexible sensors in oral health monitoring in recent years, providing a reference for the further development of flexible sensors in the oral field. The structural basis of flexible sensors includes a flexible substrate, stretchable electrodes, and an active layer, and each part is designed through material selection to adapt to the oral environment. The sensing mechanisms of sensors involve electricity, optics, electrochemistry, and immunology, among which electro-chemical, biological, and optical sensors are particularly prominent in the oral field. The monitored signals include physical signals such as orthodontic force, bite force, respiratory humidity, and implant temperature; chemical signals such as saliva metabolites and oral gases; and biological signals such as periodontal disease and oral cancer markers. At present, flexible sensors still face many challenges in this special oral environment. Future research directions include improving the biocompatibility, moisture resistance, and flexible fitting ability of sensors in the oral cavity; using temperature-insensitive materials and protective films to improve stability; and introducing artificial receptors and sensor arrays to improve factors such as selectivity. In addition, multi-disciplinary cooperation is crucial for breaking through current bottlenecks and achieving more accurate disease diagnosis and health monitoring. In the field of stomatology, finding specific biomarkers related to corresponding oral diseases is the key to sensor health monitoring. Through these efforts, flexible sensors are expected to gain more extensive applications in the field of oral health monitoring.

Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

In March 2020, the outflow of age limited videos from ICU in Spain inspired us to rethink whether there is age discrimination in the allocation of scarce medical resources. This paper frist reflected on the problem of age discrimination caused by this phenomenon from four moral intuitions: the sacred view of life, the quality of life and values, public health ethics and Chinese culture, and then examined whether it is illegal from the legal level, finally pointed out the negative impact on the society, and put forward that taking age as the standard for the allocation of scarce medical resources is not suitable for China’s national conditions.

Objective To explore the molecular mechanisms and cell-cell interactions in the injury process of pancreatic islet transplantation.Methods Single-cell transcriptome data from mouse islets treated with inflammatory factors were used,and data processing was performed using the Seurat package,with integrated data to remove batch effects.Cell subpopulations were annotated based on known markers.Cell-cell interactions in the inflammatory factor-treated group were analyzed using the CellChat package,and inferred based on the expression of cell surface receptors and ligands.Gene set enrichment analysis was used to clarify the biological processes enriched in β-cells after treatment with inflammatory factors.Finally,differentially expressed transcription factors were identified and verified using microarray datasets of donor islet ischemic injury and Western blotting.Results A total of 7 different cell subpopulations were found in mouse islets,with β-cells being the most abundant.Cell-cell interaction network analysis showed that the number and strength of interactions between ductal cells and other cells were the highest.Gene set enrichment analysis showed that after treatment with inflammatory factors,the immune response was positively enriched in β-cells,while peptide hormone metabolism,bile acid metabolism,and ion homeostasis were downregulated.The common differential transcription factors identified in the mouse single-cell transcriptome and the microarray dataset of donor islet ischemic injury were early growth response 1(EGR1),nuclear factor-κB inhibitor α(NFKBIA),and activating transcription factor 3(ATF3).Among them,NFKBIA and ATF3 were upregulated,while EGR1 was downregulated.The expression of EGR1 protein was downregulated after 24 h,48 h,and 72 h of cold ischemia.Conclusions EGR1 is a transcription factor closely related to islet cold ischemia,and future research should focus on the specific mechanisms of EGR1 and its downstream target genes,in order to provide more effective strategies for clinical treatment of islet transplantation.