Traditional Chinese medicine (TCM) pulse diagnosis is a non-invasive approach used to infer cardiovascular status, but its interpretation is relatively subjective, limiting reproducibility and diagnostic precision. This review summarizes progress in digitized radial pulse assessment using modern sensors and artificial intelligence (AI), and evaluates reported applications in cardiovascular screening and decision support. We searched PubMed, IEEE Xplore, and Web of Science Core Collection from inception through November 30, 2025, for studies that acquired wrist/radial pulse signals with electronic devices and applied quantitative analysis or machine learning/deep learning to characterize pulse patterns or assess cardiovascular conditions. Across the literature, pressure-sensor arrays, wearable photoplethysmography (PPG) surrogates, and hybrid platforms enabled more standardized pulse acquisition, while AI models reported promising performance for tasks such as blood pressure estimation, hypertension screening, coronary artery disease identification, heart failure risk stratification, and arrhythmia detection. However, methodological heterogeneity, limited sample sizes, inconsistent labeling standards, and insufficient external validation remain key barriers to clinical translation. Overall, AI-enhanced digital pulse diagnosis may improve the objectivity of TCM pulse assessment and complement conventional cardiovascular diagnostics, provided that future studies adopt rigorous protocols, transparent reporting, and clinically meaningful prospective validation.

Objective:To evaluate the effect of electroacupuncture (EA) on ionotropic purinergic receptor 4 (P2X4R)/nuclear factor-kappa B (NF-κB) signaling pathway during spinal cord injury (SCI) in rats.Methods:Thirty-six clean-grade healthy adult female Sprague-Dawley rats, weighing 210-250 g, were divided into 3 groups ( n=12 each) using a random number table method: sham surgery group (S group), SCI group, and SCI+ EA treatment group (SCI+ EA group). The SCI model was established by the Allen′s method in anesthetized animals. In group S, only the spinous processes and vertebral laminae were resected, but the spinal cord was not injured. On the 7th day after developing the model, EA of Jiaji, Dazhui, and Mingmen lasting 30 min was performed once a day for 7 consecutive days, with a depth of 2 mm, intensity of 12-15 mV, frequency of 2 Hz, in SCI+ EA group. The mechanical paw withdraw threshold (MWT) and thermal paw withdrawal latency (TWL) were measured at 1 day before developing the model and 3, 7, 14, 21 and 28 days after developing the model, and the motor function was assessed using the Basso-Beattie-Bresnahan (BBB) score. The recovery of motor function was assessed using footprint analysis at 28 days after developing the model. After the final behavioral testing, the rats were sacrificed, and spinal cord tissues were harvested to observe the pathological changes of the spinal cord tissues using hematoxylin-eosin staining, to detect the expression of P2X4R and phosphorylated NF-κB p65 (p-NF-κB p65) (by immunohistochemical analysis and Western blot) and to determine contents of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and IL-6 (by enzyme-linked immunosorbent assay). Results:Compared with the baseline measured at 1 day before developing the model, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model in SCI group and SCI+ EA group ( P<0.05). Compared with S group, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was up-regulated, and the contents of TNF-α, IL-1β and IL-6 were increased in SCI group ( P<0.05). Compared with SCI group, the MWT and BBB scores were significantly increased and the TWL was prolonged at 14, 21 and 28 days after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was down-regulated, and the contents of TNF-α, IL-1β and IL-6 were decreased ( P<0.05), and the pathological damage of spinal cord tissues was alleviated and footprints were reduced in SCI+ EA group. Conclusions:The mechanism by which EA alleviates SCI may be related to the inhibition of the activation of the P2X4R/NF-κB signaling pathway and the reduction in the inflammatory response in rats.

Objective:To design and develop a cone-beam CT imaging system for small animals with continuously adjustable spatial resolution.Methods:The imaging system used an X-ray source with a focal spot size of 30 μm and a flat panel detector with a pixel size of 100 μm. On this premise, a " stepping-focusing-rotating" image acquisition mode was proposed, in which the " focusing" and " stepping" systems were sequentially embedded in the " rotating" system. In this acquisition mode, the X-ray source and flat panel detector were relatively stationary to form the " focusing" system. When the " stepping" system accurately transported the object to the scanning position, the " focusing" system could achieve adjustable spatial resolution by making linear motion around the object to be scanned according to different experimental requirements. Finally the " rotating" system achieve high-quality imaging.Results:The variable spatial resolution of small animal CBCT ranges from 35.7 μm to 71.4 μm, and the FOV ranges from 39.6 mm to 108.0 mm. The conversion time for the limit spatial resolution is 19.125 s, which allowed accurate 3D reconstruction of normal mice at different resolutions with high reproducibility.Conclusions:A cone-beam CT suitable for small animals has been developed, whose spatial resolution and FOV can be adjusted arbitrarily within a certain range, which can meet the different imaging requirements in rodent experiments.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objectives:To explore the CT classification and evaluation methods of thoracoabdominal folded deformity in ankylosing spondylitis(AS).Methods:A retrospective analysis was conducted on 31 patients with AS thoracolumbar kyphosis who underwent thoracolumbar CT examinations between July 2017 and January 2024.There were 28 males and 3 females,with an average age of 45.0±8.9 years.The thoracoabdominal folded angle(TAFA)and the distances between xiphoid process and the superior edge of the pubic symphysis(XP)were measured on the mid-sagittal plane of thoracolumbar CT.The global kyphosis(GK),thoracic kypho-sis(TK),and lumbar lordosis(LL)Cobb angle and sagittal vertical axis(SVA)were measured on the full-length lateral radiograph of the spine.According to the effect of sagittal lumbar physiological curvature on the change of abdominal volume,a CT classification of AS thoracoabdominal folded deformity was innovatively classified into three types,type Ⅰ when there was physiological lordosis in the lumbar spine,type Ⅱ when the physiological curvature of the lumbar spine became straight,and type Ⅲ when there was lumbar kyphosis deformity.According to TAFA,type Ⅲ patients were divided into two subtypes:TAFA＞90° was subtype A,and TAFA ≤90° was subtype B.Five trained spinal surgeons independently evaluated and classified the clini-cal data of patients(with a 10d interval),and used Kendall's W-test to analyze the consistency of multiple observation results.Using one-way analysis of variance to compare the differences in the above measurement parameters between different types.Results:Among the 31 patients,there were 5 cases of thoracoabdominal folded deformity type Ⅰ,8 cases of type Ⅱ,12 cases of type Ⅲ A,and 6 cases of type ⅢB.The Kendall's W consistency coefficient for inter-observer classification was 0.954(P＜0.001).The average GK,TK,LL,SV A,TAFA,and XP of patients were 83.7°±29.9°,48.7°±21.3°,-13.9°±25.3°,22.8±14.9cm,128.1°±50.5°,and 16.8±8.9cm,respectively;The Kendall's W consistency coefficients between the different groups'measurement values of TAFA and XP were 0.946(P＜0.001)and 0.979(P＜0.001),respectively;There were significant differ-ences in TAFA and XP pairwise comparisons between different subtypes(P＜0.001).Conclusions:CT imaging classification can objectively evaluate the thoracoabdominal folded deformity in AS,and the distance between the xiphoid process and pubic symphysis and the TAFA are important indicators for evaluating the thoracoab-dominal folded deformity in AS.

Objective:To evaluate the effect of electroacupuncture (EA) on ionotropic purinergic receptor 4 (P2X4R)/nuclear factor-kappa B (NF-κB) signaling pathway during spinal cord injury (SCI) in rats.Methods:Thirty-six clean-grade healthy adult female Sprague-Dawley rats, weighing 210-250 g, were divided into 3 groups ( n=12 each) using a random number table method: sham surgery group (S group), SCI group, and SCI+ EA treatment group (SCI+ EA group). The SCI model was established by the Allen′s method in anesthetized animals. In group S, only the spinous processes and vertebral laminae were resected, but the spinal cord was not injured. On the 7th day after developing the model, EA of Jiaji, Dazhui, and Mingmen lasting 30 min was performed once a day for 7 consecutive days, with a depth of 2 mm, intensity of 12-15 mV, frequency of 2 Hz, in SCI+ EA group. The mechanical paw withdraw threshold (MWT) and thermal paw withdrawal latency (TWL) were measured at 1 day before developing the model and 3, 7, 14, 21 and 28 days after developing the model, and the motor function was assessed using the Basso-Beattie-Bresnahan (BBB) score. The recovery of motor function was assessed using footprint analysis at 28 days after developing the model. After the final behavioral testing, the rats were sacrificed, and spinal cord tissues were harvested to observe the pathological changes of the spinal cord tissues using hematoxylin-eosin staining, to detect the expression of P2X4R and phosphorylated NF-κB p65 (p-NF-κB p65) (by immunohistochemical analysis and Western blot) and to determine contents of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and IL-6 (by enzyme-linked immunosorbent assay). Results:Compared with the baseline measured at 1 day before developing the model, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model in SCI group and SCI+ EA group ( P<0.05). Compared with S group, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was up-regulated, and the contents of TNF-α, IL-1β and IL-6 were increased in SCI group ( P<0.05). Compared with SCI group, the MWT and BBB scores were significantly increased and the TWL was prolonged at 14, 21 and 28 days after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was down-regulated, and the contents of TNF-α, IL-1β and IL-6 were decreased ( P<0.05), and the pathological damage of spinal cord tissues was alleviated and footprints were reduced in SCI+ EA group. Conclusions:The mechanism by which EA alleviates SCI may be related to the inhibition of the activation of the P2X4R/NF-κB signaling pathway and the reduction in the inflammatory response in rats.

Objective:To design and develop a cone-beam CT imaging system for small animals with continuously adjustable spatial resolution.Methods:The imaging system used an X-ray source with a focal spot size of 30 μm and a flat panel detector with a pixel size of 100 μm. On this premise, a " stepping-focusing-rotating" image acquisition mode was proposed, in which the " focusing" and " stepping" systems were sequentially embedded in the " rotating" system. In this acquisition mode, the X-ray source and flat panel detector were relatively stationary to form the " focusing" system. When the " stepping" system accurately transported the object to the scanning position, the " focusing" system could achieve adjustable spatial resolution by making linear motion around the object to be scanned according to different experimental requirements. Finally the " rotating" system achieve high-quality imaging.Results:The variable spatial resolution of small animal CBCT ranges from 35.7 μm to 71.4 μm, and the FOV ranges from 39.6 mm to 108.0 mm. The conversion time for the limit spatial resolution is 19.125 s, which allowed accurate 3D reconstruction of normal mice at different resolutions with high reproducibility.Conclusions:A cone-beam CT suitable for small animals has been developed, whose spatial resolution and FOV can be adjusted arbitrarily within a certain range, which can meet the different imaging requirements in rodent experiments.

BACKGROUND:Adipose-derived stem cells have anti-aging effects,but whether adipose-derived stem cells from donors of different ages are different needs further study. OBJECTIVE:To compare the biological properties of adipose-derived stem cells in old and young mice. METHODS:Adipose-derived stem cells were extracted from adipose tissue of C57BL mice aged 8 and 14 weeks,respectively.The differences of cell cycle,apoptosis,and proliferation of adipose-derived stem cells in old and young mice were compared.The expression levels of aging-related P21 and P27 genes and proteins of adipose-derived stem cells in old and young mice were detected by quantitative PCR and western blot assay. RESULTS AND CONCLUSION:Compared with old mouse adipose-derived stem cells,young mouse adipose-derived stem cells were more active,more regular in morphology,less apoptosis,faster proliferation,and lower in expression of age-related P21 and P27 genes and proteins.It has been proven that adipose-derived stem cells from young mice have better anti-aging effects.

OBJECTIVES: Renal cell carcinoma (RCC) is a malignant renal tumor that poses a significant threat to patient health. Accurate preoperative pathological grading plays a crucial role in determining the appropriate treatment for this disease. Currently, deep learning technology has become an important method for pathological grading of RCC. However, existing methods primarily rely on single-phase computed tomography (CT) imaging for analysis and prediction, which has limitations such as missing small lesions, one-sided evaluation, and local focusing issues. Therefore, this study proposes a multi-modal deep learning algorithm that integrates multi-phase enhanced CT images with clinical variable data, aiming to provide a basis for predicting the pathological grading of RCC. METHODS: First, the algorithm took four-phase enhanced CT images from the plain scan, arterial phase, venous phase, and delayed phase, along with clinical variables, as inputs. Then, an embedding encoding module was used to extract heterogeneous information from the clinical variables, and a 3-dimensional (3D) ResNet50 model was employed to capture spatial information from the multi-phase enhanced CT image data. Finally, a Fusion module deeply integrated the feature information from clinical variables and each phase's CT image features, further utilizing a cross-self-attention mechanism to achieve multi-phase feature fusion. This approach comprehensively captures the deep semantic information from the patient data, fully leveraging the complementary advantages of multi-modal and multi-phase data. To validate the effectiveness of the proposed method, a total of 1 229 RCC patients were approved by ethics review were included to train the model. RESULTS: Experimental results demonstrated superior performance compared to traditional radiomics and state-of-the-art deep learning methods, achieving an accuracy of 83.87%, a recall rate of 95.04%, and an F1-score of 82.23%. CONCLUSIONS The proposed algorithm exhibits strong stability and sensitivity, significantly enhancing the predictive performance of RCC pathological grading. It offers a novel approach for accurate RCC diagnosis and personalized treatment planning.
Humans ; Carcinoma, Renal Cell/pathology* ; Deep Learning ; Kidney Neoplasms/diagnostic imaging* ; Tomography, X-Ray Computed/methods* ; Algorithms ; Neoplasm Grading ; Male ; Female ; Middle Aged

Xenotransplantation is an important approach to addressing the shortage of donor organs. However, it still faces numerous challenges, such as acute rejection and zoonotic diseases. Organoid-on-a-chip technology refers to a microcell culture device that simulates the physiological functions of human organs in vitro. In recent years, it has achieved a series of important results in the field of allotransplantation and has great application prospects in the field of xenotransplantation, bringing new opportunities for xenotransplantation research. Therefore, this article discusses the current research status and progress of organoid-on-a-chip technology, combined with the various problems faced by xenotransplantation, to explore the application of organoid-on-a-chip technology in solving the selection of immunosuppressive regimens, matching and viral reactivation in xenotransplantation. This aims to open up new avenues for solving the current problems in the field of xenotransplantation and promote its further development.