ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

Objective:To explore the relationships between physical activity and cognitive impairment in older adults aged ≥65 years in longevity areas in China.Methods:A total of 6 081 older adults aged ≥65 years from the Healthy Ageing and Biomarkers Cohort Study in China in 2021 were included in this study. Information about their demographic characteristics, lifestyles, and chronic disease histories were collected, the intensity of physical activity was evaluated by using Physical Activity Scale for the Elderly, and the cognitive function was evaluated by using Mini-Mental State Examination Scale (Chinese version). Multifactorial logistic regression model was used to analyze the associations between different levels and types of physical activity and cognitive impairment in older adults.Results:In the 6 081 older adults, 1 829 (30.1%) had cognitive impairment. After adjusting for confounders, older adults with T2 and T3 levels of physical activity had lower risks for cognitive impairment compared with those with T1 levels of physical activity, with ORs of 0.47 (95% CI: 0.40-0.55) and 0.22 (95% CI: 0.18-0.28). The results of different types of physical activities showed that the ORs in leisure activity T2 and T3 groups were 0.52 (95% CI: 0.44-0.63) and 0.49 (95% CI: 0.41-0.58), and the ORs in housework activity T2 and T3 groups were 0.36 (95% CI: 0.30-0.42) and 0.19 (95% CI: 0.16-0.24). There was no significant association between work-related activity and cognitive impairment. Conclusion:There is a negative association between the intensity level of physical activity and cognitive impairment, and active leisure and household activities might reduce the risk for cognitive impairment.

Cognitive impairment is one of the most common non-motor symptoms of Parkinson′s disease, which seriously affects the health and quality of life of patients. Therefore, it is particularly important to identify and predict the future cognitive decline of this population. Cognitive reserve can compensate for brain damage caused by aging and brain diseases, and reduce and delay cognitive decline, reflecting the different sensitivity of individuals to cognitive impairment. However, the specific relationship between the two is not fully understood. This paper mainly analyzes the concept, measurement method, genetics and functional imaging of cognitive reserve in Parkinson′s disease to further reveal the relationship between cognitive impairment and cognitive reserve in Parkinson′s disease.

Objective: To evaluate the effects of dietary intervention on blood pressure and renal function in patients with hypertensive nephropathy, so as to provide dietary and nutritional guidances for this population. Methods: Hypertensive nephropathy patients who were treated at Zhucheng People's Hospital from March 2023 to February 2024 were selected as the study subjects and randomly divided into the intervention group and the control group. The control group received routine antihypertensive treatment and health lifestyle guidance. On the basis of the treatment and guidance received by the control group, the intervention group implemented dietary intervention in accordance with the Clinical Practice Guidelines for Nutritional Therapy of Chronic Kidney Disease in China (2021 edition) for a period of 3 months. Systolic blood pressure (SBP), diastolic blood pressure (DBP) were measured before and after the intervention, and serum creatinine (Scr), blood urea nitrogen (BUN), uric acid (UA), cystatin and β2-microglobulin were detected. Differences of indicators before and after intervention between the two groups were compared using generalized estimation equation. Results: A total of 83 patients with hypertensive nephropathy were followed up, including 43 cases in the intervention group and 40 cases in the control group. There were no statistically significant differences in gender, age, body mass index, duration of hypertension, family history of hypertension, hypertension grade, physical activity index, or smoking status between the two groups (all P>0.05). The differences in SBP, DBP, Scr, BUN, and UA between the two groups, as well as the differences before and after the intervention, were statistically significant, and there was an interaction between the groups and the intervention time (all P<0.05). After intervention, the levels of SBP, DBP, Scr, BUN, and UA in the intervention group were lower than those in the control group (all P<0.05). The differences in cystatin and β2-microglobulin between the two groups and before and after the intervention were not statistically significant, and there was no interaction between the groups and the intervention time (all P>0.05). Conclusion Dietary intervention has a certain effect on reducing blood pressure and improving renal function indicators in patients with hypertensive nephropathy.

The radiation-free and unmarked body surface monitoring technology is developed for reducing the additional radiation dose generated by positioning error verification during radiotherapy positioning,and further reducing the positioning error and monitoring the displacement deviation of patients during radiotherapy in real time.At present,the widely used optical surface guided radiotherapy technology is also a type of radiotherapy guided by body surface monitoring.The system mainly uses optical imaging equipment as a tool to complete body surface scanning,three-dimensional reconstruction,real-time monitoring,etc.,thereby assisting doctors to carry out radiotherapy more accurately.Herein the study elaborates on the methods,technologies and research results of guided radiotherapy from the aspects of body surface markers,three-dimensional surface imaging systems and mobile devices,and provides prospects for future researches.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To analyze the application trends and research hotspots of brain-computer interface(BCI)technology in stroke rehabilitation over the past five years.Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,2021 and August,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 was used for visualiza-tion analysis.Results A total of 458 papers were included.The annual number of publications remained at a high level.China was the leading country in publication output,with Fudan University and Aalborg University as the top institutions.The most prolific author was Mads R.Jochumsen,while G.Pfurtscheller had the highest citation frequency.The key-words and burst terms with the highest frequency in this field were brain-computer interface,motor imagery,up-per limb and deep learning.Conclusion Over the past five years,research on BCI in stroke rehabilitation has maintained a high publication volume.The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neu-ral mechanisms and rehabilitation efficacy.

Currently,a wide range of oral antibacterial materials are clinically used,including metal element antibacterial materials(such as silver,zinc,copper,titanium),and non-metal element antibacterial materials(such as fluorine).In recent years,cerium ox-ide nanoparticles have attracted great interest in the field of oral medicine due to their unique antibacterial,anti-inflammatory,antioxi-dant,redox capabilities.At the same time,they also have the characteristics of promoting tissue regeneration,inhibiting biofilm forma-tion and good biocompatibility.To enhance the performance of oral materials,nanoparticles have been integrated into products such as composite resins,adhesives,and denture systems.Additionally,they have shown potential for modifying oral ceramic materials and an-ti-tumor effects.This review focuses on the latest research progress in various fields of oral medicine,including endodontics,periodon-tology,implantology,prosthodontics,and orthodontics,based on the biological characteristics of nano-cerium oxide.Our goal is to re-veal the potential of cerium oxide in the diagnosis and treatment of oral diseases and to provide ideas and references for the expansion of clinical applications in oral medicine.

Objective:To assess the professional knowledge proficiency of mainstream large language models (LLMs) in medical laboratory education and to explore their potential as educational aids for medical laboratory technology students.Methods:A comprehensive evaluation was conducted using 400 authentic questions from the 2023 Chinese National Clinical Medical Laboratory Technician Qualification Examination. Five LLMs (Copilot, Grok, Yuanbao, Doubao, and Kimi) were tested through two-round interactions using zero-shot prompting and interaction-optimized prompting strategies. The accuracy of answers and the quality of generated content were evaluated. Performance disparities were analyzed using Cochran's Q test. Content quality was scored through the CLEAR framework (completeness, lack of false information, evidence-based reasoning, appropriateness, relevance).Results:In the first-round test, Doubao achieved the highest overall accuracy rate (375/400). The overall accuracy rates of Doubao and Yuanbao significantly outperformed Copilot and Kimi ( P<0.001). After the second-round interactive optimization, the accuracy rate of Kimi significantly improved ( P<0.05), whereas other LLMs showed slight improvements ( P>0.05). Doubao still had the highest overall accuracy rate (380/400). The overall accuracy rates of Doubao and Yuanbao significantly outperformed Copilot ( P<0.005). Evaluation based on the CLEAR framework revealed that Yuanbao, Doubao, and Kimi significantly outperformed foreign models in the dimensions of evidence-based reasoning ( P<0.003) and completeness ( P<0.05), demonstrating standardized citation of authoritative evidence and superior content quality. Conclusions:The tested LLMs possess extensive medical laboratory knowledge. The accuracy of their answers and the quality of the generated content can be improved through single-question input, specifying evidence requirements, and enabling advanced reasoning functions. Domestic LLMs are comparable to foreign LLMs in terms of accuracy, and have significant advantages in the dimensions of evidence-based reasoning and completeness. LLMs can serve as auxiliary tools for learning professional knowledge in medical laboratory technology.