In the context of the rapid development of 5G technology， the development of artificial intelligence （AI） in traditional Chinese medicine （TCM） faces new opportunities and challenges. Focusing on how to uphold tradition while innovating in the development of AI in TCM， starting from the current development status of AI in Chinese medicine， including the integration of four diagnostic methods， syndrome differentiation and treatment， auxiliary diagnosis and treatment， research and development of Chinese herbal medicine， prevention and treatment of diseases， knowledge inheritance， and other aspects， this paper discussed the support of policies and technical advancements， as well as development opportunities such as increased demand for health. Regarding machine ethics， data ethics， regulatory review， and other aspects， it also proposed some suggestions that the training algorithm should be improved to assist medical work； data ownership should be clarified to ensure data security； and an AI ethics committee should be set up to improve the review system， aiming to maximize the advantages of smart healthcare and accelerate the modernization of TCM for the benefit of patients and the service of human health.

Objective: To analyze epidemiological trends and changing characteristics of syphilis among students in Yunnan Province from 2005 to 2023, so as to provide evidence for the comprehensive prevention and control of syphilis in schools. Methods: The case data of syphilis among students in Yunnan Province from 2005 to 2023 were obtained from the China Information System for Disease Control and Prevention. The Joinpoint regression model was used to conduct a time trend analysis of the reported incidence rate of syphilis. Results: From 2005 to 2023, a cumulative total of 3 191 cases of syphilis were reported in schools in Yunnan Province(1 248 male cases and 1 943 female cases). The reported incidence rate rose continuously from 0.17/100 000 in 2005 to 8.26/100 000 in 2023, with an average annual percent change (AAPC) of 24.89%( Z =13.18, P <0.01). The reported incidence rate was higher in female students than in male students ( χ 2=229.48, P <0.05). The incidence rates in the primary school, junior high school, senior high school and higher education were 0.21/100 000, 2.42/100 000, 4.45/100 000 and 6.29/100 000 respectively, and the difference was statistically significant (χ 2=3 432.84, P <0.05). The average annual growth rate was the highest in the junior high school stage(AAPC= 30.68% , Z =7.57, P <0.05),followed by the senior high school stage (AAPC=24.28%, Z = 5.70 , P <0.05).The reported incidence rate of primary and secondary syphilis increased from 0.12/100 000 in 2005 to 2.06/ 100 000 in 2023, with an AAPC of 16.86% ( Z = 4.57, P <0.05). Conclusions The overall reported incidence rate of syphilis among students in schools in Yunnan Province shows a sustained upward trend, with the most rapid annual increase observed in junior high schools. Schools should prioritize syphilis education and expand awareness campaigns to curb transmission.

Objective:To investigate the effects of cannabidiol(CBD)on the NOD-like receptor protein 3(NLRP3)inflammasome in the brains of rats with multiple cerebral concussions(MCC).Methods:Rats were subjec-ted to the MCC model and divided into Sham,MCC,vehicle(MCC+TW),CBD-L(10 mg/kg),and CBD-H(40 mg/kg)groups.Immunofluorescence double staining was used to observe changes in NLRP3 and microglial cells in the brain,and Western Blot was performed to detect the expression changes of the NLRP3 inflammasome.Results:A sig-nificant increase in lectin-positive microglial cells of the cortex with enlarged cell bodies and elevated immunofluores-cence intensity of NLRP3 in the activated microglial cells was revealed by immunofluorescence double staining following MCC(P＜0.05).The immunofluorescence intensity of NLRP3 in the activated microglial cells was downregulated by the administration of CBD,with a more pronounced effect observed in the CBD-H group compared to the CBD-L group(P＜0.05).The expression of NLRP3,caspase-1,and apoptosis-associated speck-like protein(ASC)in the cortex,hippocampus,and basal ganglia of rats following MCC was significantly increased,as shown by Western Blot analysis(P＜0.05),and cortical areas are more elevated.The expression of these proteins in different brain regions was reduced by CBD-10 and CBD-40 intervention(P＜0.05).Conclusion:Cannabidiol can reduce the inflammatory response of multiple cerebral concussions rats through NLRP3 inflammasome and protect nerve tissue.

Care dependence refers to a complex and comprehensive state of being dependent on others due to the limita-tion of physical functions caused by the disease.Elderly stroke patients are high risk group for care dependence due to decrease in self-care ability caused by their disease characteristics.Therefore,this paper reviews the current research status,influencing factors,and interventions of care dependence,in order to provide reference for increasing attention to the care needs of elderly stroke patients,reducing their dependence,and improving their quality of life.

Objective To investigate the correlation between somatosensory evoked potentials(SEP)of upper limbs,and sensory and motor functions in stroke patients in different stages. Methods From June,2021 to October,2023,177 stroke patients in Shijiazhuang People's Hospital were diveded into acute stage group(within 14 days,n=25),early recovery group(14 days to one month,n=110)and middle to late recovery group(one to six months,n=42)according to the duration of the disease.General information of the patients was recorded;SEP examination was performed,and N20 lantency and amplitude were recorded.Monofilament touch and two-point discrimination sensation of the patient's hands were tested using the monofila-ment and two-point discrimination tools,respectively;and motor function was assessed with Fugl-Meyer Assess-ment-Upper Extremities(FMA-UE).The correlation between SEP,and the sensory and motor scores in each group was analyzed. Results There was no significant difference in the monofilament tactile and two-point discrimination scores among the three groups(P>0.05).SEP was not correlated with sensory and motor functions in the acute stage group(P>0.05);in the early recovery group,N20 latency was negatively correlated with monofilament tactile sensation(r=-0.267,P=0.005)and positively correlated with two-point discrimination sensation(r=0.220,P=0.021),and N20 amplitude was positively correlated with monofilament tactile sensation(r=0.328,P<0.001)and FMA-UE score(r=0.418,P<0.001),and negatively correlated with two-point discrimination(r=-0.405,P<0.001);in the middle to late recovery group,the N20 latency was negatively correlated with FMA-UE score(r=-0.313,P=0.044),and N20 amplitude was positively correlated with monofilament tactile sensation(r=0.598,P<0.001)and FMA-UE score(r=0.393,P=0.010),and negatively correlated with two-point discrimination(r=-0.591,P<0.001).Multiple linear regression analyses showed that the score of monofilament tactile sensa-tion was negatively correlated with N20 latency(β=-0.510,P=0.046),and the FMA-UE score was positively correlated with N20 amplitude(β=0.313,P=0.026)in the middle to late recovery group;in the early recovery group,the two-point discriminative sensation score was negatively correlated with N20 amplitude(β=-0.270,P=0.039). Conclusion The correlation between SEP and sensory and motor functions becomes more significant with the prolonga-tion of disease.

Objective:To analyze the clinical and genetic characteristics of three Chinese pedigrees affected with Genetic epilepsy with febrile seizures plus (GEFS+ ).Methods:Three GEFS+ probands and their pedigree members presented at the Children′s Hospital of Zhengzhou University from January 2020 to December 2021 were selected as the study subjects. Clinical data of the pedigrees were collected. Whole exome sequencing was carried out for the probands, and Sanger sequencing was used to verify the candidate variants.Results:Proband 1 was a 3-year-and-2-month-old male with febrile seizure plus. His father, two aunts, grandmother, aunt grandmother, uncle grandfather, and paternal great-grandmother also had onset of febrile seizures at 1 ~ 2 years of age with remission before 6 years old. Proband 2 was a 1-year-and-4-month-old male with complex febrile seizure. His mother, maternal uncle, and maternal grandmother also had febrile seizures before 5 ~ 6 years of age. Proband 3 was a 3-year-and-11-month-old male with febrile seizure plus. His father and grandfather also had febrile seizures plus with remission at 7 ~ 8 years of age. Genetic testing revealed that proband 1 had harbored a paternally derived heterozygous SCN1A: c. 1613T>C variant, proband 2 had harbored a maternally derived heterozygous SCN1A: c. 2804A>G variant, and proband 3 had harbored a paternally derived heterozygous SCN1A: c. 1271T>C variant. All of the three variants were predicted as likely pathogenic based on the guidelines from the American College of Medical Genetics and Genomics (PM1+ PM2_Supporting+ PP1+ PP3+ PP4). Conclusion:The c. 1613T>C, c. 2804A>G and c. 1271T>C variants probably underlay the pathogenesis of GEFS+ in these pedigrees.

Pigeons show flocking and homing behaviors,which require characteristics including long-distance weight-bearing and continuous flight,with excellent navigation and spatial cognitive abilities.Pigeons have been widely used in animal robot research in recent years.Pigeon robots achieve motor behavior control by applying neural information intervention to specific neural targets in the pigeon's brain.This review summarizes research progress in pigeon robots based on the sensory system,motivation and emotional system or cortex and midbrain motor area respectively,according to the distribution of hierarchical multi-level neural regulatory targets in the pigeon's brain,with the aim of providing reference and guidance for further applied research into the use of pigeon robots in space perception,reconnaissance,and anti-terrorism search and rescue.

Objective To predict the constitutive parameters of a superelastic model of plantar soft tissues based on random forest(RF)and backpropagation(BP)neural network algorithms to improve the efficiency and accuracy of the method for obtaining constitutive parameters.Methods First,a finite element model for a spherical indentation experiment of plantar soft tissues was established,and the spherical indentation experiment process was simulated to obtain a dataset of nonlinear displacement and indentation force,divided into training and testing sets.The established RF and BP neural network(BPNN)models were trained separately.The constitutive parameters of plantar soft tissues were predicted using experimental data.Finally,the mean square error(MSE)and coefficient of determination(R2)were introduced to evaluate the accuracy of the model prediction,and the effectiveness of the model was verified by comparison with the experimental curves.Results Combining the RF and BPNN models with finite element simulation was an effective and accurate method for determining the superelastic constitutive parameters of plantar soft tissues.After training,the MSE of the RF model reached 1.370 2×10-3,and R2 was 0.982 9,whereas the MSE of the BPNN model reached 4.858 1×10-5,and R2 was 0.999 3.The inverse-determined constitutive parameters of the plantar soft tissues suitable for simulation were obtained.The calculated response curves for the two predicted sets of constitutive parameters were in good agreement with the experimental curves.Conclusions The prediction accuracy for the superelastic constitutive parameters of plantar soft tissues based on an artificial intelligence algorithm model is high,and the relevant research results can be applied to study other mechanical properties of plantar soft tissues.This study provides a new method for obtaining the constitutive parameters of plantar soft tissues and helps to quickly diagnose clinical problems,such as plantar soft tissue lesions.

Chimeric antigen receptor (CAR)-T cell therapy has achieved remarkable success in the treatment of hematological malignancies. Based on the immunomodulatory capability of CAR-T cells, efforts have turned toward exploring their potential in treating autoimmune diseases. Bibliometric analysis of 210 records from 128 academic journals published by 372 institutions in 40 countries/regions indicates a growing number of publications on CAR-T therapy for autoimmune diseases, covering a range of subtypes such as systemic lupus erythematosus, multiple sclerosis, among others. CAR-T therapy holds promise in mitigating several shortcomings, including the indiscriminate suppression of the immune system by traditional immunosuppressants, and non-sustaining therapeutic levels of monoclonal antibodies due to inherent pharmacokinetic constraints. By persisting and proliferating in vivo, CAR-T cells can offer a tailored and precise therapeutics. This paper reviewed preclinical experiments and clinical trials involving CAR-T and CAR-related therapies in various autoimmune diseases, incorporating innovations well-studied in the field of hematological tumors, aiming to explore a safe and effective therapeutic option for relapsed/refractory autoimmune diseases.

Objective:To investigate the predictive value of serum levels of C-C motif chemokine ligand 21 (CCL21) and C-X-C motif chemokine receptor 3 (CXCR3) for stroke-associated pneumonia (SAP) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to No.215 Hospital of Shaanxi Nuclear Industry from July 2020 to December 2023 were prospectively included. Serum CCL21 and CXCR3 test results and general clinical data at admission were collected using the hospital electronic medical record system. The independent influencing factors of SAP were identified through multivariate logistic regression analysis, and the predictive value of serum CCL21 and CXCR3 levels for SAP were analyzed by receiver operating characteristic (ROC) curves. Results:A total of 150 patients with AIS were enrolled, including 91 males (60.67%), aged 61.48±7.92 years. Among them, 41 patients (27.33%) developed SAP during hospitalization. There were significant differences in serum CCL21 and CXCR3 levels, National Institutes of Health Stroke Scale score, Glasgow Coma Scale score, invasive mechanical ventilation, length of hospital stay, and the proportion of patients with hypertension and diabetes between the SAP group and the non-SAP group (all P<0.05). Multivariate logistic regression analysis showed that serum CCL21 (odds ratio [ OR] 1.022, 95% confidence interval [ CI] 1.006-1.039; P=0.006) and CXCR3 ( OR 1.036, 95% CI 1.018-1.054; P<0.001) levels were the independent risk factors for SAP. ROC curve analysis showed that serum CCL21 and CXCR3 levels had good predictive power separately for SAP. The areas under the curve was 0.730 (95% CI 0.634-0.825) and 0.807 (95% CI 0.721-0.892), respectively. The combined prediction of the two showed an area under the curve of 0.881 (95% CI 0.819-0.943). Conclusion:The patients with AIS generally have higher levels of serum CCL21 and CXCR3. The levels of serum CCL21 and CXCR3 are closely associated with SAP, and both of them have a good predictive effect on SAP alone or in combination.