Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.

At present,malignant tumor diseases occur frequently and increase year by year.Traditional chemoradiotherapy methods are expensive,have serious toxic and side effects,and are easy to reduce patient tolerance.Natural medicines have advantages of multiple targets,high selectivity and low toxicity and side effects in process of anti-tumor,and are one of important sources of anti-tumor drugs.As a polypeptide substance,lactoferrin has a strong anti-tumor effect and plays a huge role in field of nano-drug delivery.Receptors of lactoferrin are widely expressed on surface of various cancer cells.In addition to its strong anti-tumor effect,it is also widely used to modify nanocarriers.In this paper,anti-tumor mechanism of lactoferrin is reviewed,and the latest research progress of using lactoferrin as an anti-cancer drug delivery carrier is also introduced.

Objective:To understand the expectations of Hong Kong residents to seek for medical treatment in Shenzhen and the influencing factors,so as to provide a reference for promoting the medical cooperation between Shenzhen and Hong Kong and the integration of medical services in Guangdong-Hong Kong-Macao Greater Bay Area.Methods:Based on the Anderson model,a questionnaire survey on medical expectations was conducted among 1 592 Hong Kong residents who sought medical treatment at the University of Hong Kong-Shenzhen Hospital.Binary logistic regression was used to analyze the influencing factors of medical ex-pectations in different dimensions.Results:The overall expectation score of Hong Kong residents for medical treatment in Shenzhen was 3.01,and the most important concern was the professionalism and accessibility of medical services.The results of binary logis-tic regression analysis showed that gender,education level,birth and growth area,long-term living area,frequency of visiting Shenzhen,opinions of relatives and friends and monthly income were the influencing factors of medical treatment expectation of Hong Kong residents(P＜0.05).Conclusion:It is suggested that Hong Kong residents'sense of identity and trust in Shenzhen's healthcare should be enhanced,and that Shenzhen and Hong Kong should make innovations in the convergence of medical security systems,the supply of Hong Kong's medicines and devices in Shenzhen,so as to promote the integrated development of medical and health services in Shenzhen and Hong Kong,and jointly build a"health community"in the GBA.

At present,malignant tumor diseases occur frequently and increase year by year.Traditional chemoradiotherapy methods are expensive,have serious toxic and side effects,and are easy to reduce patient tolerance.Natural medicines have advantages of multiple targets,high selectivity and low toxicity and side effects in process of anti-tumor,and are one of important sources of anti-tumor drugs.As a polypeptide substance,lactoferrin has a strong anti-tumor effect and plays a huge role in field of nano-drug delivery.Receptors of lactoferrin are widely expressed on surface of various cancer cells.In addition to its strong anti-tumor effect,it is also widely used to modify nanocarriers.In this paper,anti-tumor mechanism of lactoferrin is reviewed,and the latest research progress of using lactoferrin as an anti-cancer drug delivery carrier is also introduced.

Objective:To understand the expectations of Hong Kong residents to seek for medical treatment in Shenzhen and the influencing factors,so as to provide a reference for promoting the medical cooperation between Shenzhen and Hong Kong and the integration of medical services in Guangdong-Hong Kong-Macao Greater Bay Area.Methods:Based on the Anderson model,a questionnaire survey on medical expectations was conducted among 1 592 Hong Kong residents who sought medical treatment at the University of Hong Kong-Shenzhen Hospital.Binary logistic regression was used to analyze the influencing factors of medical ex-pectations in different dimensions.Results:The overall expectation score of Hong Kong residents for medical treatment in Shenzhen was 3.01,and the most important concern was the professionalism and accessibility of medical services.The results of binary logis-tic regression analysis showed that gender,education level,birth and growth area,long-term living area,frequency of visiting Shenzhen,opinions of relatives and friends and monthly income were the influencing factors of medical treatment expectation of Hong Kong residents(P＜0.05).Conclusion:It is suggested that Hong Kong residents'sense of identity and trust in Shenzhen's healthcare should be enhanced,and that Shenzhen and Hong Kong should make innovations in the convergence of medical security systems,the supply of Hong Kong's medicines and devices in Shenzhen,so as to promote the integrated development of medical and health services in Shenzhen and Hong Kong,and jointly build a"health community"in the GBA.

Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.

Objective:To explore the feasibility of using the large-scale language model ChatGPT to focus on research hotspots in the field of clinical medical education management,aiming to accelerate the scientific research process in this field.Methods:First,six key topics in the field were selected,and ChatGPT was guided to automatically generate the five most urgent or important research hotspots in each topic through questioning.Then,six clinical medical education managers were organized to use the five-point Likert scale to evaluate the research hotspots generated by ChatGPT from five dimensions,including pertinence,humanity,dialectics,expansion,and originality.Finally,the evaluation results were analyzed from multiple perspectives based on descriptive statistics,score similarity,and indicator correlation.Results:The research hotspots generated by ChatGPT performed excellently in terms of topic specificity,and were also satisfactory in terms of humanistic,dialectical,and expansive aspects,but performed mediocrely in terms of originality.Conclusion:ChatGPT can serve as an auxiliary tool to focus on research hotspots in clinical medical education management,but more efforts are still needed to enhance the originality of the research hotspots it generates.However,when using ChatGPT to focus on research hotspots,there are a series of ethical risks,including false and abusive data,discrimination and bias in algorithms,as well as academic dishonesty and misconduct.From the technical perspective,researchers can integrate the focused results of multiple large-scale language models,and utilize data and algorithm diversity to avoid ethical risks.From the application perspective,individual identification,group argumentation,and other means can be utilized,and carefully examined with critical thinking to avoid ethical risks.

Although immunotherapy has made a breakthrough in the treatment of cancer,the emergence of drug resistance has limited be-nefits in most patients,and reversing immunotherapy resistance remains a hotly debated and unresolved issue.The tumor microenviron-ment(TME)comprises a large number of T lymphocytes.During the biological processes of proliferation,activation,and the effect of tumor-infiltrating lymphocytes(TILs),TILs face severe local metabolic stress,resulting in metabolic reprogramming to meet the markedly increased energy demand and biosynthesis requirements.This process of adaptive changes in the metabolic pattern is closely related to the pheno-type and function of TILs,affecting immunotherapy efficacy and mediating immunotherapy resistance.In recent years,with the study of TIL metabolism and the search for specific metabolic regulatory points,targeting the TIL metabolic pathway could restore the tumor-killing func-tion and reverse immunotherapy resistance.This review explores the relationship between the metabolic reprogramming of TILs and im-mune resistance,and provides a new strategy for reversing immune resistance.

Active immunotherapy for cancer aims to treat disease by inducing effective cellular immunity and humoral immunity.Research on virus-like particles(VLPs)vaccines has made tremendous progress in recent years,dramatically reducing morbidity and mortality from some infectious diseases.VLPs are nanoparticles self-assembled from one or more structural proteins,with highly ordered repeat sequences and good immunogenicity,which can induce strong cellular immune and humoral immune responses.VLPs can overcome immunosuppressive state of tumor microenvironment,break self-tolerance,and trigger strong cytotoxic T lymphocyte activity,which is critical for both viral clearance and destruction of cancer cells.This article mainly reviews current research progress of VLPs-based cancer vaccines and potential defects of VLPs as vaccine carriers in development of cancer vaccines.

Virus-like particles(VLPs)are nanoparticles that are self-assembled from one or more structural proteins,which can be arranged in several layers or contain a lipid outer membrane.Due to the lack of genetic material,VLPs cannot infect host cells,but are highly immunogenic and can induce immune responses different from conventional inactivated vaccines.VLPs can be produced using a variety of systems including bacterial,yeast,plant,insect and mammalian cells.Compared with traditional vaccines,VLPs have incomparable advantages,so they are becoming more and more popular in the biomedical field.To date,a series of vaccine candi-dates based on VLPs have been developed for immunization and prevention of various infectious diseases.At the same time,the recent successful application of VLPs in targeted drug delivery and gene therapy has attracted attention.This paper mainly reviews the com-monly used expression systems of VLPs and the research progress of their applications.