Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Chronic obstructive pulmonary disease (COPD) is the most common chronic respiratory disease around the world, and pharmacotherapy is the foremost treatment method currently. In recent decades, with the rapid development of bronchoscopic interventional therapy, endoscopic physical ablation technology presents a therapeutic effect in treating COPD, with few treatment-related side effects, showing excellent application prospects in treating COPD. Since ablation techniques in this field are emerging technologies with low patient acceptance, they are not widely used in the clinical treatment of COPD. This article reviews the development process of physical ablation techniques. Moreover, their current application status and the prospects in the field of COPD treatment are also summarized and analyzed. We hope to promote the application of physical ablation in the clinical treatment of COPD and provide practical references and a theoretical basis for the clinical treatment of COPD.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Background Meteorological factors are among the key extrinsic triggers for the onset and exacerbation of cardiovascular and cerebrovascular diseases (CVD). Against the backdrop of sustained global warming, elucidating the impact of ambient temperature and atmospheric pressure on CVD, especially on pre-hospital CVD emergent events, has become imperative for evidence-based prevention and emergency preparedness. Objective To quantify the temporal trends of daily mean temperature and atmospheric pressure and their associations with pre-hospital CVD emergent events in Yantai, and to explore effect modification by demographic subgroups and geographic areas, thereby providing an empirical basis for the rational allocation of emergency medical resources. Methods Pre-hospital CVD emergency data from January 1, 2016 to December 31, 2022 were selected from the Yantai 120 Emergency Medical Command System. Synchronous meteorological factors and environmental pollutant data were obtained from the websites of the National Oceanic and Atmospheric Administration and the National Centers for Environmental Information of the United States. Time-series analysis combined with distributed lag non-linear model was used to analyze the association between daily temperature, atmospheric pressure, and pre-hospital CVD emergencies. Average annual percentage changes (AAPC) were calculated using Joinpoint (version 5.2.0.0) to reflect temporal trends. Spearman correlation analysis was employed to screen variables with low collinearity for inclusion in the multi-pollutant adjusted models. Results From 2016 to 2022, a total of 268275 pre-hospital CVD emergency cases were recorded in Yantai City, showing an increasing annual trend (AAPC=7.16%, P=0.002). Emergency volume, daily temperature, atmospheric pressure, and PM₁₀ displayed marked seasonal patterns, with summer bottoms and winter peaks for emergencies, daily temperature higher in summer and lower in winter, and the inverse for atmospheric pressure. Correlation analysis showed that both daily temperature and atmospheric pressure were positively correlated with O₃, with correlation coefficients of 0.745 and 0.723, respectively; negatively correlated with PM_2.5, with correlation coefficients of −0.246 and −0.235, respectively; and negatively correlated with PM₁₀, with correlation coefficients of −0.241 and −0.229, respectively (P < 0.05). A U-shaped correlation was revealed between daily temperature and pre-hospital CVD emergency risk. Using 24 °C as the reference, risk was elevated at both low and high daily temperatures, with the strongest cold effect at –11 ℃ (RR=1.53, 95%CI: 1.35, 1.73) and strongest heat effect at 30 ℃ (RR=1.06, 95%CI: 1.01, 1.11); cold effects were prolonged (lag0–14d) compared to heat effects. Atmospheric pressure exhibited a positive association with emergencies; using a median of 1012.2 hPa as the reference, the maximum risk occurred at 1037 hPa (RR=1.25, 95%CI: 1.03, 1.52), with a 0–5 d lag. In the subgroup analysis, the impact of low temperature was more pronounced among females (RR_{−9 ℃}=1.66), people over 60 years (RR_{−9 ℃}=1.91), and rural residents (RR_{−9 ℃}=1.76). High atmospheric pressure significantly increased the risk of pre-hospital CVD emergency among females (RR_{1035 hPa}=1.54), people under 18 years (RR_{1035 hPa}=3.62), and rural residents (RR_{1035 hPa}=1.46). The sensitivity analysis results indicated that, after excluding the impact of pandemic and the degrees of freedom for time variations, the effects of daily average temperature and atmospheric pressure on pre-hospital CVD emergency volume were consistent with the primary analysis findings. Conclusion Both non-optimal temperature and atmospheric pressure significantly increase the pre-hospital CVD emergency volume; therefore, emergency medical services should develop targeted response protocols, optimize resource allocation, and intensify public health education to mitigate the pre-hospital burden attributable to temperature and pressure fluctuations.

OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.

Objective:To explore the efficacy and prognosis of hepatectomy via Laennec membrane approach in patients with hepatocellular carcinoma (HCC).Methods:The data of 98 patients with HCC who underwent hepatectomy in the First Affiliated Hospital of Soochow University from January 2016 to December 2022 were retrospectively analyzed, including 76 males and 22 females, aged 61.0 (55.0, 66.0) years. Forty-eight patients treated with Laennec membrane approach hepatectomy were included in the study group and 50 patients treated with traditional approach hepatectomy were included in the control group. The age, gender, combined hypertension and diabetes, aspartate transaminase, alanine transaminase, albumin, total bilirubin, prealbumin, platelet, alpha-fetoprotein, carbohydrate antigen 19-9 and carbohydrate antigen 125 were compared between the two groups. The surgical bleeding, operation time and complications (abdominal bleeding, bile leakage, poor incision healing, etc.) were compared between the two groups. The prognosis of the two groups was compared.Results:There were no significant differences in gender, age, underlying diseases, preoperative biochemical and tumor serological indexes between the two groups (all P>0.05). The operation time of the study group was 180.0 (141.3, 227.3) min, which was lower than that of the control group 221.5 (187.5, 256.3) min ( Z=-0.41, P=0.002). The intraoperative blood loss in the study group was 295.0 (127.5, 350.0) ml, which was lower than that in the control group 300.0 (200.0, 500.0) ml, and the difference was statistically significant ( Z=-1.97, P=0.003). The levels of aspartate transaminase and alanine transaminase 1 week after surgery in the study group were 33.4 (24.0, 43.8) U/L and 64.5 (38.3, 119.1) U/L, respectively, which were lower than those in the control group 41.3 (29.7, 63.0) U/L and 102.8 (50.1, 140.7) U/L, the differences were statistically significant ( Z=-2.09, -2.38, P=0.035, 0.028). Postoperative complications occurred in 8 cases (16.7%) in the study group and 10 cases (20.0%) in the control group, with no significant difference between the two groups ( χ2=0.18, P=0.670). The median overall survival was 16 months in the study group and 18 months in the control group, respectively. There was no significant difference in cumulative survival between the two groups ( χ2=1.41, P=0.130). Conclusion:Laennec membrane approach hepatectomy can not only shorten the operation time and reduce the amount of blood loss, but also promote the recovery of liver function.

Objective To systematically evaluate the level of proteus mirabilis(PM)infection in patients with rheumatoid arthritis(RA)and to investigate its potential association with the development of RA.Methods Based on Meta-analysis of observational studies in epidemiology and preferred reporting items for systematic review and Meta-analysis guide,a comprehensive search of PubMed,Web of Science and Embase databases was conducted to screen relevant literature published up to December 2024 for studies comparing the levels of anti-PM antibodies between RA patients and healthy populations,and the quality of the included studies was assessed by using the Newcastle-Ottawa scale.Heterogeneity among studies was assessed by Q-test and I2-test,and accordingly,fixed-effects or random-effects models were selected,and the robustness of the results was assessed by sensitivity analyses,Begg's test,and clipping and patching method.Results Finally,18 eligible articles were included,involving 753 RA patients and 716 healthy controls.The total antibody levels[weighted mean difference(WMD)=0.86,95％CI:0.38-1.34,I2=98.3％,P=0.000]and IgA antibody levels(WMD=0.17,95％CI:0.06-0.28,I2=96.7％,P=0.000)of RA patients were higher than those of healthy controls,and subgroup analyses revealed significant heterogeneity among geographic regions and testing methods.Conclusion Prevention and treatment of PM infections may be a complementary strategy for RA management and provide evidence-based support for the"PM antigen-genitourinary tract mucosa-autoimmunity"pathology hypothesis.

Objective To analyze the predictive value of spermatic vein diameter in diagnosing occult oblique inguinal hernia in children.Methods A total of 93 children of oblique inguinal hernia were admitted to Hangzhou Linping District Maternal &Child Health Care Hospital from August 2021 to August 2023 as research objects,including 15 with 30 sides of bilateral dominant hernia and 78 with 78 sides of unilateral dominant hernia.Among them,21 with 21 sides of contralateral recessive hernia were found by laparoscopic exploration in unilateral dominant hernia.The 108 sides of dominant hernia were used as dominant hernia group and 21 sides of occult hernia group as recessive hernia group.According to different ages,the patients were divided into 1 to 3 years old group 60 cases,4 to 6 years old group 33 cases;Children with oblique inguinal hernia were divided into＜2 years group(68 cases)and ≥2 years group(25 cases).The color ultrasound diagnostic instrument uses a 7.5MHz linear transducer to measure the diameter of the spermatic vein in the inguinal region of the child using blood flow imaging with a signal displayed at 2mm/s.Receiver operating characteristic(ROC)curve analysis of the predictive value of spermatic vein diameter for the diagnosis of occult inguinal hernia in children.Results Compared with occult hernia group,diameter of spermatic cord was increased in dominant hernia group(P＜0.05).Compared with overt hernia group,diameter of spermatic cord in＜2 year group and ≥2 year group was smaller,and difference was statistically significant(P＜0.05).In prediction of disease diagnosis with different age and course of disease,sensitivity of 1 to 3 years old was lower than that of 4 to 6 years old,and specificity was higher.The sensitivity of ≥2 years group was lower than that of＜2 years group.The specificity was higher and difference was statistically significant(P＜0.05).Conclusion diameter of spermatic vein can be used to predict the diagnosis of occult oblique inguinal hernia in children with high sensitivity and specificity.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Objective To explore the effect of ionizing radiation on the fertility of male mice and its offspring and the intergenerational and transgenerational genetic effect mechanism of ionizing radiation through sperm DNA methylation sequencing.Methods Eight-week-old(8 w)C57BL/6 male mice were irradiated with 60Co radiation source at a dose of 3 Gy(3 Gy-F0 group,n=60)and non-irradiated mice of the same age were used as controls(0 Gy-F0 group,n=60).Afetr 5-,6-,7-,8-,9-,10-,11-,and 12-week radiation,the mice began to breed with healthy females,and the first generation(F1 generation)male mice then breed with healthy female mice to obtain the offspring(F2 generation)male mice.The structure of testis was detected by hematoxylin-eosin staining;serum follicle-stimulating hormone(FSH),testosterone(T)and luteinizing hormone(LH)levels were determined by enzyme-linked immunosorbent assay.Automatic sperm analysis system was used to detect sperm concentration and activity.The DNA of F0 generation sperm was extracted and analyzed by genome-wide DNA methylation sequencing.MassARRAY methylation sites were detected in sperm DNA of F1 generation mice and verified by quantitative polymerase chain reaction(qPCR).Results Compared with the 0 Gy-F0 group,male mice in the 3 Gy-F0 group gradually regained their reproductive ability 7 weeks after ionizing radiation.There was no significant difference in the number of surviving offspring between the 3 Gy-F0 group and 0 Gy-F0 group 10-11 weeks after radiation(P＞0.05).There were no significant differences in body weight,testicular morphology,or sperm concentration of F1 generation mice between the 3 Gy-F1 group and the 0 Gy-F1 group(all P＞0.05).However,compared with the 0 Gy-F1 group,the contents of LH,FSH and T in the 3 Gy-F1 group were all decreased(all P＜0.05),the testicle volume,total sperm motility rate,forward motility rate and the fertility were considerably decreased(all P＜0.05).DNA methylation sequencing showed that more differentially methylated genes were enriched in the pathway regulating microtubule formation.MassARRAY methylation sites analysis showed that the methylation level of Mid1 was significantly increased(P＜0.05 or P＜0.01).Mid1 was verified down-regulated in Fl and F0 sperm by qPCR(P＜0.05 or P＜0.01).However,there were no significant differences in volume of testes,testicular index,sperm concentration,sperm motility,hormone levels or Mid1 expression level between 0 Gy-F2 and 3 Gy-F2 mice in F2 generation male mice(all P＞0.05).Conclusion Sperm damage in mice caused by ionizing radiation at a dose of 3 Gy can recover by itself.However,it may decrease sperm activity by regulating Mid1 methylation level of sperm in F1 mice,thus affect the fertility of F1 mice,but has no effect on the fertility of male F2 mice.