Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To strengthen the management of low-value consumables in public hospitals by introducing the Supply Processing Distribution(SPD)management model,and to explore refined operational management strategies and path optimization for low-value consumables.Methods:The SPD management model was introduced,and the entire process of hospital consumables was refinedly managed using third-party supply chain information management platforms,visualized tertiary department warehouses,Radio Frequency Identification(RFID)technology and intelligent cabinet systems,Unique Device Identification(UDI)coding,"four-code integration"and other supporting technologies.Results:Based on the analysis of the current situation in the target Hospital,specific measures related to the management of low-value consumables were introduced after the introduction of the SPD model.Conclusion:It provides a reference and guidance for the hospital's medical consumables management department to promote refined management of medical consumables under the SPD model.

Objective:To explore the risk factors of pulmonary infection in patients with non-small cell lung cancer (NSCLC) after thoracoscopic lobectomy and evaluate their predictive value.Methods:A retrospective analysis was conducted on the clinical data of 152 NSCLC patients who underwent thoracoscopic lobectomy at the Central Hospital of Tongchuan Mining Bureau in Shaanxi Province from May 2021 to May 2024. Among them, 45 cases were diagnosed with pulmonary infection by postoperative lung CT examination (postoperative infection group), while the remaining 107 cases did not develop pulmonary infection (non infection group). The levels of serum procalcitonin, serum amyloid A (SAA), and soluble triggering receptor expressed on myeloid cell-1 (sTREM-1) between two groups of patients before and after surgery were compared, and conduct a multivariate logistic regression analysis on the risk factors of pulmonary infection in NSCLC patients undergoing thoracoscopic lobectomy was conducted to evaluate the predictive value of each indicator for pulmonary infection in NSCLC patients after thoracoscopic lobectomy. The normally distributed quantitative data was represented by xˉ± s. Independent sample t-test was used for comparison between two groups, and paired t-test was used for comparison before and after treatment; The count data was presented as an example (%), and the comparison between groups was conducted using the chi square test. The risk factors for postoperative pulmonary infection in NSCLC patients were analyzed using multiple logistic regression analysis. Receiver operating characteristic (ROC) curves were plotted to analyze the predictive value of each indicator for pulmonary infection after thoracoscopic lobectomy. Results:No difference were found in the levels of serum procalcitonin, SAA, and sTREM-1 between two groups of patients before surgery(all P>0.05); 24 hours after surgery, the levels of serum procalcitonin, SAA, and sTREM-1 in both groups of patients were higher than before surgery [Postoperative infection group: (1.16±0.29) μg/L compared to (0.34±0.09) μg/L, (10.2±1.8) mg/L compared to (7.3±0.9) mg/L, (20.3±4.8) ng/L compared to (8.0±1.2) ng/L, t-values were 20.70, 9.70, and 16.89, respectively, all P<0.001; The uninfected group (0.84±0.14) μg/L compared to (0.32±0.08) μg/L, (8.2±1.1) mg/L compared to (7.4±0.9) mg/L, and (13.5±6.3) ng/L compared to (8.1±1.2) ng/L, with t-values of 33.36, 6.13, and 8.73, respectively, all P<0.001, and the infected group was higher than the uninfected group ( t-values of 9.18, 8.32, and 6.52, respectively, all P<0.001). The results of multivariate logistic regression analysis showed that serum procalcitonin, SAA, and sTREM-1 levels at 24 hours after surgery were all risk factors for pulmonary infection in NSCLC patients undergoing thoracoscopic lobectomy (odds ratios of 2.40, 1.61, 1.60, 95% confidence intervals: 1.14~5.04, 1.09~2.38, 1.13~2.26, P values of 0.021, 0.017, 0.009, respectively). The area under curve(AUC) of serum procalcitonin, SAA, and sTREM-1 predicting pulmonary infection after thoracoscopic lobectomy in NSCLC patients 24 hours after surgery were 0.84, 0.74, and 0.79, respectively, with cutoff values of 1.03 μg/L, 9.74 mg/L, and 16.85 ng/L, respectively. Conclusions:The levels of serum procalcitonin, SAA, and sTREM-1 24 hours after surgery are all risk factors for pulmonary infection in NSCLC patients undergoing thoracoscopic lobectomy, and all three had a high predictive value for postoperative pulmonary infection.

The codon was optimized for the bovine nebovirus(BNeV)VP1 gene and the recombi-nant plasmid pFastBac-Dual-VP1 was constructed,and BNeV-VP1 virus-like particles(VLPs)were prepared using a baculovirus expression system,and identified by Western blot,indirect im-munofluorescence and electron microscopy.Successfully validated VLPs were mixed with MF59 adjuvant and CpG-ODG,and mice were immunised by intramuscular injection and evaluated for immunity effects.The results showed that the optimized CAI(codon adaptation index)of VP1 gene was 0.93 and the GC content was 60.4％.The constructed recombinant plasmid was trans-formed into DH10Bac for blue-white spot screening,and after successful verification,it was trans-fected into SF9 cells to obtain recombinant baculovirus Baculo-BNeV-VP1.BNeV virus-like parti-cles with diameters ranging from 35 to 40 nm were observed under the electron microscope,and both IFA and Western blot experiments proved that the target proteins were successfully ex-pressed and biologically active,and protein optimisation revealed that the highest protein expres-sion was found at the infectious dose MOI=0.5.Mice were immunized by intramuscular injection after 50 μg of VLPs were mixed with MF59 adjuvant and CpG-ODN.The results showed that the VLPs immunization group produced IgG antibodies 7 days after the first dose,and the antibody ti-ter increased gradually,reaching a maximum of 1∶102 400,and declined at 35 d,but still main-tained a high level;The blocking titer BT50 is up to 640,which can induce the production of BNeV VP1-specific blocking antibody in mice.In this study,the baculovirus expression system was used to express the VP1 protein of BNeV,and BNeV VLPs were successfully constructed,which could induce humoral immune response in mice,which provided a reference for the follow-up research of BNeV vaccine.

Codon optimization was performed for the M and HN genes of bovine parainfluenza virus type 3(BPIV3),and the recombinant shuttle plasmid Dual-M+HN was constructed.BPIV3 VLPs was prepared using the baculovirus expression system,and verified by Western blot,IFA and elec-tron microscopy.The successfully verified virus-like particle(VLPs)were mixed with MF59 adjuvant and CpG-ODN immunoenhancer to immunize mice by intramuscular-injection,and BPIV3 inactivated vaccine group and adjuvant control group were set up.The immune effect of BPIV3 VLPs was evaluated by monitoring mouse serum specific antibodies,neutralizing antibodies and hemagglutination inhibition antibodies.The results showed that the optimized codon adaptation in-dex(CAI)of the M and HN protein genes were 0.96 and 0.95,respectively,and the CG content reached 54.1％and 53.1％,respectively.The constructed recombinant plasmid was transformed in-to DHI0Bac for blue and white spot screening.The validated recombinant rod particles were trans-fected into Sf9 cells to obtain the rod-shaped virus pFastBac-M+HN.Under electron microscopy,BPIV3 VLPs with a diameter of approximately 180 nm were observed.IFA and Western blot ex-periments confirmed the successful expression and biological activity of the target protein.Through protein optimization,it was found that the protein expression was highest at an infection dose of MOI=5.After mixing 50 μg VLPs with MF59 adjuvant and CpG-ODN,mice were immunized by intramuscular injection.The results showed that the antibodies in the VLPs immunized group be-gan to rise at 2 weeks of the first immunization and reached their peak at 21 days of the second im-munization,with an average IgG antibody titer of 1∶40 228;The average titer of neutralizing anti-bodies is 1∶298;The titer of hemagglutination inhibition antibody is 1∶549,reaching the level of inactivated vaccine(P≥0.05),indicating that the VLPs prepared in this experiment can induce hu-moral immune response in the body.In summary,this study successfully prepared VLPs capable of self-assembly expression of BPIV3 HN and M proteins,and induced humoral immune response in mice,providing research basis for subsequent BPIV3 VLPs vaccine research.

Objective To investigate the associations between physical health status,refraction and ocular biometrics in school-age children,and further clarify the relation of eyes'refractive status to physical growth and development,so as to provide scientific evidences for myopia prevention and con-trol.Methods A total of 1718 children(977 boys and 741 girls)aged 8-12 years were enrolled in this study.They were collected uncorrected visual acuity,refraction and ocular biometrics,including spherical equivalent,cylindrical equivalent,axial length(AL),corneal refraction(K1,K2)and anteri-or chamber depth(ACD),as well as the AL/CR ratio and spherical equivalent refraction(SER).Moreover,their height,weight and physical fitness level were measured,including speed,strength,flexibility,agility and aerobic endurance.Then all data were analyzed using the Pearson correlation,One-way ANOVA and multiple linear regression model.Results The overall prevalence of myopia was 43.83%,which was higher in girls than in boys(46.96%vs.41.45%).Moreover,the height and weight of school-age children were negatively correlated with SER(P<0.01),but positively correlated with AL,ACD and AL/CR(P<0.01).After controlling the age and gender variables in the multiple linear regression model,it was found that for 10-cm increase in height,SER decreased by 0.013 D(P<0.01),AL extended by 0.022 mm(P<0.01),and ACD increased by 0.002 mm(P<0.05).In addi-tion,for 10-kg increase in the body weight,the AL would be 0.009 mm longer(P<0.05)and ACD 0.002 mm deeper(P<0.05).Moreover,the speed,strength and agility were negatively correlated with SER(P<0.01,P<0.05),but positively correlated with AL,ACD and AL/CR(P<0.01,P<0.05).The maximal oxygen uptake level was positively correlated with SER(P<0.01),and negatively correlated with AL,ACD and AL/CR(P<0.01,P<0.05).After controlling the age and gender variables in the multiple linear regression model,it was found that the children with worse speed quality had shorter AL(-0.043 D,P<0.05).Meanwhile,the better agility was accompanied by the lower SER(-0.003 D,P<0.01),longer AL(+0.002 mm,P<0.05),lighter ACD(+4.812e-4 mm,P<0.05),and higher AL/CR(+2.446e-4,P<0.05).Conclusion With variables of age and gender controlled,the height,weight,and the speed and agility quality are highly associated with eyes'refractive status among chil-dren aged 8-12 years old.It is suggested that the human body may have a coordination mechanism to regulate the development of the body stature,physical fitness and ocular biometrics in the early child-hood,which should be considered in their myopia prevention and control.

Objective:Exploring the effect of Pinocembrin(Pino)regulating the Ras homolog gene family member A/Rho associated with curly helix binding protein kinase(RhoA/ROCK)signaling pathway of Ras homologous gene family members on the malignant biological behavior of gastric cancer cells.Methods:Cultivate human gastric cancer cells MGC803 with different concentrations of Pino(0～240μmol/L),detect cell survival rate using CCK-8 method,and screen for the optimal drug concentration.MGC803 cells were rseparated into MGC803 group(Control group),Pino-L group,Pino-M group,Pino-H group,and Pino-H+RhoA agonist CN03 group.The clone formation experiment was applied to detect the number of clones formed of cells in each group.Assessment of cell apoptosis using flow cytometry.Tran-swell invasion and migration experiments were used to detect the number of cells undergoing migration and invasion in each group;Detection of RhoA/ROCK signaling pathway and expression of epithelial mesenchymal transition related proteins in MGC803 cells using Western blot method.Results:Compared with the MGC803 group,the cell survival rate,clone formation number,migration cell number,and invasion cell number were all reduced in the Pino-L group,Pino-M group,and Pino-H group,and RhoA was also present in the cells,ROCK2,The expression levels of vimentin and N-cadherin gradually decreased(P<0.05),while the apoptosis rate and E-cadherin expression level gradually in-creased(P<0.05).The Pino-H+CN03 group reversed the trend of changes in the above indicators).Conclusion:Pino can prevent malignant biological behavior of gastric cancer cells,which may be related to the inhibition of the RhoA/ROCK signaling pathway.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.