A self-attention generative adversarial network(SAGAN)is proposed to improve the accuracy of histological subtype prediction for lung cancer cases.After collecting and preprocessing the lung cancer image dataset and data augmentation,SAGAN model is trained,where the generator uses self-attention mechanism to strengthen feature extraction,while the discriminator optimizes the generation process.Experimental results show that SAGAN model achieves accuracies of 0.852 and 0.845 on the training and test sets,respectively,with recall rates of 0.833 and 0.829,outperforming the other models.Additionally,the narrow confidence intervals indicate the high stability of SAGAN model in classification.SAGAN is helpful for lung cancer image analysis,providing stronger support for clinical decision-making.

Pain assessment in children is vital in clinical practice. Accurate evaluation of pain intensity in children is the prerequisite for implementing effective analgesic interventions, it is necessary to chose age-specific assessment tools tailored to developmental stages of children. The degrees of patin reported by children themselves are the gold standard for evaluation, and self-assessment should be prioritized when feasible. In addition, behavioral and physiological assessments also show good reliability and validity. This review summarizes current domestic and international researches on pediatric pain assessment tools and their clinical applications, aiming to provide reference for optimizing pain evaluation in pediatric practice.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes.This study presents a smartphone-integrated handheld automated biochemical analyzer(sHABA)designed for point-of-care testing of urinary albumin.The sHABA features a pre-loaded,disposable reagent cassette with re-agents for the albumin assay arranged in the order of their addition within a hose.The smartphone-integrated analyzer can drive the reagents following a preset program,to enable automatic sequential addition.The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L.The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity(95.78％)and specificity(90.16％).This research advances the field by providing an automated detection method for albumin in a portable device,allowing even untrained individuals to monitor CKD in real time at the patient's bedside.In the context of promoting tiered diagnosis and treatment,the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

A self-attention generative adversarial network(SAGAN)is proposed to improve the accuracy of histological subtype prediction for lung cancer cases.After collecting and preprocessing the lung cancer image dataset and data augmentation,SAGAN model is trained,where the generator uses self-attention mechanism to strengthen feature extraction,while the discriminator optimizes the generation process.Experimental results show that SAGAN model achieves accuracies of 0.852 and 0.845 on the training and test sets,respectively,with recall rates of 0.833 and 0.829,outperforming the other models.Additionally,the narrow confidence intervals indicate the high stability of SAGAN model in classification.SAGAN is helpful for lung cancer image analysis,providing stronger support for clinical decision-making.

Pain assessment in children is vital in clinical practice. Accurate evaluation of pain intensity in children is the prerequisite for implementing effective analgesic interventions, it is necessary to chose age-specific assessment tools tailored to developmental stages of children. The degrees of patin reported by children themselves are the gold standard for evaluation, and self-assessment should be prioritized when feasible. In addition, behavioral and physiological assessments also show good reliability and validity. This review summarizes current domestic and international researches on pediatric pain assessment tools and their clinical applications, aiming to provide reference for optimizing pain evaluation in pediatric practice.

Objective To explore the characteristics of blood vitamins A, B2, B6, B12, D, E, K1, K2 and folic acid and their correlation with severity in patients with metabolic-related fatty liver disease (MAFLD). Methods　From September to December 2022, a total of 473 cases of residents were recruited through community MAFLD screening activities and their health information was obtained through questionnaire survey and physical examination. The severity of hepatic steatosis was determined with FibroScan, and vitamin concentrations were determined with liquid chromatography-tandem mass spectrometry. Two independent samples' t-tests were used to assess the differences between the two groups, and univariate chi-square tests and multivariate logistic regression analysis were used to explore the related factors of MAFLD. Results　Of the 473 inhabitants, 195 (41.23%, 195/473) met the diagnostic criteria for MAFLD, including mild 43 (22.05%, 43/195) cases of fatty liver, 88 (45.13%, 88/195) cases of moderate fatty liver, and 64 (32.82%, 64/195) cases of severe fatty liver. Using healthy residents collected during the same period as controls, the overall mean of vitamins A, E, K1, and K2 in the MAFLD group was higher than that of the healthy group, with a statistical difference (P<0.05). Furthermore, the concentrations of vitamins A, E, K1 and K2 increased with the severity of fatty liver [R=0.149, P=0.004; R=0.245, P<0.001; R=0.110, P=0.032; R=0.129，P=0.012]. There were statistically significant differences (P<0.05) in the blood levels of vitamin A and E between patients with moderate or severe fatty liver and the healthy population. The blood vitamins K1 and K2 in severe fatty liver patients were also different from those of healthy people (P<0.05). However, there was no significance between folic acid, vitamin D, B2, B6, B12, and MAFLD (P>0.05). Through univariate chi-square analysis and multivariate logistic regression analysis, it was found that male [Wald=5.789, P=0.034，OR=1.598(1.037-2.463)] and vitamin E≥8.13 μg/mL[Wald=14.632，P<0.001，OR=2.378(1.522-3.674)] were risk factors for moderate and severe MAFLD. Conclusions The concentrations of vitamin A, E, and K in the blood are increased in patients with MAFLD compared to the healthy population, and they are positively correlated with the severity of MAFLD. ale gender and high levels of vitamin E may be related to moderate to severe MAFLD.

OBJECTIVE To establish a rapid and accurate PCR method for detecting 24 strains of Burkholderia cepacia complex(Bcc) by comparing three detection methods of loop-mediated isothermal amplification(LAMP), SYTO 9 dye method based on polymerase chain reaction(PCR) and TaqMan probe real-time fluorescent quantitative PCR method( TaqMan probe method). METHODS According to the molecular biological information of 24 strains of Bcc in the NCBI database, multiple candidate sequence fragments unique to Bcc were screened out, and specific primer and probe that could simultaneously detect 24 strains of Bcc were designed. At the same time, the detection methods of LAMP, SYTO 9 dye method based on PCR and Taqman probe were explored, and the optimal annealing temperature was optimized and screened. The 39 experimental strains were used to verify the Bcc detection method. RESULTS LAMP method could not effectively detect Bcc, SYTO 9 dye method and TaqMan probe method could effectively detect more than 20 strains of Bcc, while TaqMan probe method had higher amplification effect, better detection sensitivity, repeatability and stability, which could meet the requirements of this study. CONCLUSION In this study, a TaqMan probe method for rapid detection of Bcc was established. Compared with LAMP method and SYTO 9 dye method, this method has the advantages of fast, simple and high sensitivity, and provides technical support for the rapid detectionof Bcc.

Coronary artery bypass grafting (CABG) is one of the most effective revascularization treatments for coronary heart disease. Secondary prevention strategies, which rely on antiplatelet and lipid-lowering drugs, are crucial after CABG to ensure the durability of revascularization treatment effects and prevent adverse cardiovascular and cerebrovascular events in the medium to long term. Previous research conducted by Professor Zhao Qiang's team from Ruijin Hospital of Shanghai Jiao Tong University, known as the DACAB study, indicated that dual antiplatelet therapy (DAPT, specifically ticagrelor+aspirin) after CABG can enhance venous graft patency. However, it remains uncertain whether DAPT can further improve the medium to long-term clinical outcomes of CABG patients. Recently, the team reported the medium to long-term follow-up results of the DACAB study, termed the DACAB-FE study, finding that DAPT administered after CABG can reduce the incidence of major cardiovascular events over five years and improve patients' medium to long-term clinical outcomes. This article will interpret the methodological highlights and significant clinical implications of the DACAB-FE study.

Objective:To explore the standardized performance of a FISH probe before clinical detection.Methods:The probe sensitivity and specificity of ETV6/RUNX1 were analyzed via interphase and metaphase FISH in 20 discarded healthy bone marrow samples. The threshold system of the probe was established using an inverse beta distribution, and an interpretation standard was established. Finally, a parallel-controlled polymerase chain reaction detection study was conducted on 286 bone marrow samples from patients at our hospital. The clinical sensitivity, specificity, and diagnostic coincidence rate of ETV6/RUNX1 FISH detection were analyzed, and the diagnostic consistency of the two methods was analyzed by the kappa test.Results:The probe sensitivity and specificity of the ETV6/RUNX1 probe were 98.47% and 100%, respectively. When 50, 100, and 200 cells were counted, the typical positive signal pattern cutoffs were 5.81%, 2.95%, and 1.49%, respectively, and the atypical positive signal pattern cutoffs were 13.98%, 9.75%, and 6.26%, respectively. The clinical sensitivity of FISH was 96.1%, clinical specificity was 99.6%, diagnostic coincidence rate was 99.00%, diagnostic consistency test kappa value was 0.964, and P value was <0.001.Conclusion:For FISH probes without a national medical device registration certificate, standardized performance verification and methodology performance verification can be performed using laboratory developed test verification standards to ensure a reliable and accurate reference basis for clinical diagnosis and treatment.