Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

Objective: To investigate the epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 and spatio-temporal clustering characteristics from 2022 to 2023, so as to provide insights into formulation of pertussis control measures. Methods: Data of pertussis cases in Jiaxing City from 2004 to 2023 were collected through the Infectious Disease Report Information System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics of pertussis cases in Jiaxing City from 2004 to 2023 were descriptively analyzed, and the spatio-temporal clustering characteristics from 2022 to 2023 were analyzed using spatio-temporal scanning. Results: A total of 478 pertussis cases were reported in Jiaxing City from 2004 to 2023, with an average annual reported incidence of 0.53/105. The reported incidence showed an upward trend from 2004 to 2023 (P<0.05), with the highest in 2022 (3.17/105). Higher incidence of pertussis was reported in June to August (149 cases, 31.17%) and November to December (112 cases, 23.43%). There was no statistically significant difference in the reported incidence between males and females (0.56/105 vs. 0.50/105, P>0.05). The cases aged under one year accounted for the highest proportion, with 199 cases (41.63%). Haining City (0.68/105), Jiashan County (0.64/105) and Tongxiang City (0.60/105) ranked the top three in the reported incidence of pertussis. Spatio-temporal scanning analysis showed that from 2022 to 2023, the primary clustering area of pertussis was centered in Daqiao Town of Nanhu District, covering 27 towns (streets) in Nanhu District, Jiashan County, Xiuzhou District and Pinghu City, and the clustering time was from November to December, 2023. Conclusions The reported incidence of pertussis was at a low level in Jiaxing City, but showed an upward trend from 2004 to 2023. The incidence of pertussis was higher among infants under one year of age, peaked in June to August and November to December, and was concentrated in Nanhu District and its surrounding areas.

Objective To explore the characteristics of tumor immune microenvironment of pancreatic ductal adenocarcinoma(PDAC)based on the differentially expressed genes associated with macrophages in early and late tumor tissues of PDAC patients,so as to provide new targets for early diagnosis and treatment of PDAC.Methods Three early-stage and 4 late-stage tumor samples were collected from PDAC patients.Tissue transcriptome data were analyzed by single-cell sequencing technology.With The Cancer Genome Atlas(TCGA)database,macrophage related genes differentially expressed in early and late PDAC related to prognosis were obtained.The prognostic risk scoring model was constructed using the least absolute shrinkage and selection operator(LASSO)-Cox method.The risk genes associated with PDAC prognosis were screened using the Gene Expression Profiling Interaction Analysis 2(GEPIA2)online survival analysis tool.Their immune infiltration was analyzed using the cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT)method,and their expression in different subpopulations of macrophages at different periods was resolved by t-distributed stochastic nearest-neighbour embedding(tSNE)clustering downscaling and the Monocle package.The protein-protein interactions and immunohistochemistry were further analyzed with the help of STRING database and The Human Protein Atlas(HPA)database.Results A total of 48 differentially expressed macrophage-related genes in early and late PDAC were found to be associated with prognosis.Eleven differentially expressed macrophage genes were screened as PDAC prognostic genes,and they were used to construct a prognostic risk scoring model for PDAC.Two prognostic genes with significant risk indicators were screened:2'-5'-oligoadenylate synthetase 2(OAS2)was mainly expressed in secreted phosphoprotein 1(SPP1)-positive macrophages,and assembly factor for spindle microtubules(ASPM)was mainly expressed in proliferation marker protein Ki-67(MKI67)-positive macrophages.There were significant differences in the expression of OAS2 in PDAC macrophages at different stages.Immune infiltration studies showed that OAS2 and ASPM were highly expressed in regulatory T cells and M2-type macrophages(both P＜0.05).Protein-protein interaction network showed the expression relationship between OAS2 and ASPM and other co-expressed proteins.Immunohistochemistry results showed that the expression of OAS2 was higher in tumor tissues than in normal tissues.Conclusion OAS2 and ASPM are both poor prognostic genes that are specifically expressed and exert negative immune effects in SPP1+macrophages and MKI67+macrophages,respectively,promoting the progression of PDAC and ultimately leading to a poor prognosis,and it is expected to provide new targets for the prevention and treatment of PDAC.

Objective:To construct four recombinant hemagglutinin (HA) antigens from seasonal influenza viruses and evaluate their immunogenicity in mouse models.Methods:HA coding sequences from four seasonal influenza virus strains Wisconsin (H1N1), Darwin (H3N2), Austria (B/Victoria lineage, BV) and Phuket (B/Yamagata lineage, BY) were optimized and synthesized, and then used to construct four recombinant plasmids. Recombinant baculoviruses were obtained through transformation and transfection. The expression of recombinant HA antigens was identified by SDS-PAGE and Western blot. The recombinant HA antigens were purified by nickel column affinity chromatography and intramuscularly administered to BALB/c mice after formulation with Al(OH) 3 or AddaVax adjuvant. Humoral immune responses were assessed by indirect ELISA and hemagglutination inhibition test, while cellular immune responses were evaluated by ELISPOT. Microneutralization test was used to detect the titers of serum antibodies in mice. Statistical analysis was performed using t test or non-parametric rank sum test. Results:PCR amplification and agarose gel electrophoresis confirmed the correct construction of the recombinant bacmids. Western blot showed verified the successful expression of the four recombinant antigens (H1-HA, H3N2-HA, BV-HA, and BY-HA). SDS-PAGE results showed that the purity of all four recombinant HA antigens exceeded 95%. After three-dose immunization, the total IgG levels in mice immunized with the recombinant H1N1-HA, H3N2-HA, or BV-HA formulated with AddaVax adjuvant were higher than those in the corresponding groups immunized with the same recombinant antigen alone (all P<0.05). The secretion levels of IFN-γ, IL-2, and IL-4 in the group receiving the mixture of all four recombinant HA antigens formulated with AddaVax adjuvant were higher than those in the group immunized with a commercial quadrivalent split influenza vaccine (all P<0.01). Results of the microneutralization test showed that the antibody titer in the quadrivalent split influenza vaccine group was 1∶225, whereas the titer in the group immunized with the mixture of four recombinant HA antigens formulated with AddaVax adjuvant could reach up to 1∶1 200. Conclusions:In this study, four recombinant seasonal influenza virus HA antigens are successfully expressed and demonstrated good immunogenicity in mice when formulated AddaVax adjuvant.

Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.

The cultivation of innovation ability is not only the essential requirement of graduate education,but also the strate-gic demand of the development of the communist party and our country,and is of great significance to the realization of the Chinese dream of the great rejuvenation of the Chinese nation.Curriculum ideology and politics should run through the whole process of post-graduate innovation ability training.However,the curriculum ideology and politics and postgraduate innovation ability training lack deep integration.It's important for postgraduates'growth and scientific research innovation that the curriculum ideology and politics covers the whole process of scientific research activities.Therefore,this paper focuses on the design and specific implementation schemes of the curriculum ideology and politics on the postgraduate innovative ability training at the respiratory disease research team in the department of medical immunology.It makes a basis for optimizing postgraduate curriculum ideology and politics teaching in the future,which also provides ideas for cultivating innovative talents with both morality and ability in medical specialty.

This study analyzed soil-transmitted nematode infection surveillance data for children 3-9 years of age in Shaanxi Province from 2016 to 2023,to provide a scientific basis for control strategies for soil-transmitted nematode infections in children in the province.Since 2016,according to the requirements of the National Schistosomiasis and Soil-transmitted Nematode Surveillance Program(Trial),several counties and districts in Shaanxi Province were selected as surveillance sites every year.According to geo-graphical position,the surveillance sites were divided into five areas:east,west,south,north and middle,and one administrative vil-lage(community)was selected in each area for monitoring.The eggs of soil-transmitted nematodes(hookworm,Ascaris lumbricoides,Trichuris trichiura,and Enterobius vermicularis)were detected with the Kato-Katz technique in children 3-9 years of age at each sur-veillance site,and the eggs of Enterobius vermicularis were detected again with the cellophane tape anal swab method.The infection rate and intensity for E.vermicularis were calculated.Detection was performed in 12 462 children 3-9 years old at 75 surveillance sites in Shaanxi Province from 2016 to 2023;84 cases of soil-borne nematode infections were detected,and the overall infection rate was 0.67%.The infection rates for Ascaris lumbricoides and E.vermicularis were 0.18%(22/12 462)and 0.50%(62/12 462),respec-tively,and the infection rates for Trichuris trichiura and hookworm were not found.The infection rates of soil-transmitted nematodes in children were 1.28%(16/1 250),0.16%(2/1 252),1.25%(17/1 365),1.20%(18/1 494),0.17%(2/1 169),1.45%(20/1 382),0.00,and 0.36%(9/251),respectively.A linear trend was observed among years(χ2=11.973,P<0.001).The infection rates in the Weifen Basin ecological region,Loess Plateau ecological region,and Qinba Mountains ecological region were 0.51%,1.19%,and 0.72%,respectively,and the differences were statistically significant(χ2=9.726,P=0.008).Significant differences in infection rates were observed among scattered children(1.63%),preschool children(0.66%),and students(0.57%)(χ2=11.189,P=0.004).No significant differences in infection rates were observed by gender,age,and education level.Compared with the infection rates in the entire country and other provinces,the infection rate of soil-transmitted nematodes among children in Shaanxi Province was low,and the main infection species were Ascaris lumbricoides and E.vermicularis.The infection rates greatly varied within Shaanxi Prov-ince,possibly because of differences in economic development levels,children′s living habits,and personal hygiene status across re-gions.In the future,comprehensive control measures should be taken to strengthen the monitoring and control of key areas,popula-tions,and parasite species.

Objective:To learn about the epidemic characteristics and temporal-spatial trends of human anthrax in Shaanxi Province, and to provide a theoretical basis for prevention and control of anthrax.Methods:The epidemic data of human anthrax in Shaanxi Province from 1955 to 2024 were collected for descriptive epidemiological analysis. Joinpoint regression model was used to analyze the trend of anthrax incidence rate. The trend at all times and different intervals were estimated by average annual percent change (AAPC) and annual percent change (APC), respectively. Based on the number of human anthrax cases in each county (district) of Shaanxi Province from 1980 to 2024, datasets were constructed in segments every five years for global and local spatial autocorrelation analysis.Results:From 1955 to 2024, a total of 3 900 cases of human anthrax were reported in Shaanxi Province, with 124 deaths. The average annual incidence rate was 0.18/100 000 and the fatality rate was 3.18%. The incidence rate of human anthrax generally showed a downward trend (AAPC = - 3.21, t = - 1.99, P = 0.044), with the fastest decline rate from 1977 to 1993 (APC = - 15.24, t = - 4.08, P < 0.001). A temporal and regional distribution analysis was conducted on 484 human anthrax cases in Shaanxi Province from 1980 to 2024. The peak period of incidence was from July to September, accounting for 52.27% (253/484). The cities with a relatively high number of reported cases were Weinan City (201 cases), Xianyang City (161 cases), and Xi'an City (77 cases), accounting for a total of 90.70% (439/484). A population distribution analysis was conducted on 93 human anthrax cases in Shaanxi Province from 2005 to 2024, with 73 males (78.49%) and 20 females (21.51%), resulting in a male to female ratio of 3.65 ∶ 1.00. The age range was 13 to 79 years old, with a median of 44 years old. The age group of 35 to 59 years old had a higher case of the disease, accounting for 65.59% (61/93). Farmers were the main occupation, accounting for 87.10% (81/93). The shortest time interval between onset and diagnosis of 93 human anthrax cases was 0 days, the longest was 47 days, and the median was 5 days. The results of global spatial autocorrelation analysis showed that there was spatial positive correlation in human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004, and 2020 to 2024 (global Moran's I > 0, Z > 1.96, P < 0.05). The results of local spatial autocorrelation analysis showed that the high-high aggregation area of human anthrax cases was concentrated in the Guanzhong region. Conclusions:From 1955 to 2024, the incidence rate of human anthrax in Shaanxi Province generally shows a downward trend. The peak period of incidence is from July to September, and the affected populations are mainly middle-aged male farmers. Human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004 and 2020 to 2024 show spatial clustering, with high-high clustering areas concentrated in the Guanzhong region.

Objective:To analyze the epidemic characteristics and trends of visceral leishmaniasis (VL) in Shaanxi Province, and provide a basis for formulating control strategies.Methods:The information on VL cases in Shaanxi Province from January 2012 to December 2024 were obtained from the Shaanxi Provincial Infectious Disease Reporting Management System, and demographic data were collected from the Shaanxi Statistical Yearbook. Descriptive epidemiological method was used to analyze the prevalence and the distribution by the three dimensions (time, region, and population). Joinpoint 4.9.1.0 software and Geoda 1.6 software were used for regression analysis and spatial clustering analysis, respectively. SuperMap 8C software was used for visualization.Results:From January 2012 to December 2024, a total of 304 cases of VL were reported in Shaanxi Province, with an annual incidence rate of 0.06/100 000. VL cases occurred in all months of the year in Shaanxi Province with no significant seasonality, yet the onset was predominantly concentrated from April to August(52.30%, 159/304). The majority of cases were male (61.51%, 187/304), aged 5 months to 4 years (17.11%, 52/304), and farmers (67.11%, 204/304). A total of 54 districts (counties, cities) of 10 cities in the province had reported cases, mainly concentrated in Weinan City (49.34%, 150/304). Joinpoint regression analysis revealed a significant overall upward trend in the VL incidence rate in Shaanxi Province from 2012 to 2024 [average annual percent change (AAPC) = 12.60%, 95% confidence interval ( CI): 6.01% - 19.62%, t = 3.95, P < 0.001]. The year 2020 was identified as a turning point in the trend. The incidence rate showed a rapid upward trend from 2012 to 2020 [annual percent change (APC) = 23.75%, 95% CI: 13.33% - 35.12%, t = 5.62, P < 0.001]. Global spatial autocorrelation analysis indicated significant positive spatial autocorrelation in VL incidence in 2012, 2014, 2015, 2018, and 2022 (Moran's I > 0, Z > 1.96, P < 0.05). Local spatial autocorrelation analysis identified 12 "high-high" clustering areas from 2012 to 2024, mainly located in Shangluo City in southern Shaanxi Province, and Weinan City and Yan'an City in northern Shaanxi Province. Conclusions:From 2012 to 2024, VL cases in Shaanxi Province are predominantly male farmers. The incidence of VL shows an overall upward trend, with significant spatial clustering. The prevention and control situation is severe. It is imperative to strengthen control measures, including vector disinfection and health education, to effectively control the spread and transmission of VL.