Lightweight and polarized self-attention mechanism for abnormal morphology classification algorithm during traditional Chinese medicine inspection
September 2024
To propose a Light-Atten-Pose-based algorithm for classifying abnormal morphology in traditional Chinese medicine (TCM) inspection to solve the problem of relying on manual labor or expensive equipment...
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Metabolic characteristics of Qi-Yin deficiency and heat stagnation in liver meridian patterns of dry eye based on tear metabolomics
September 2024
To explore the metabolic differences between dry eye patients with Qi-Yin deficiency and heat stagnation in liver meridian patterns, and clarify their metabolic characteristics....
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A Rumsfeld Matrix test for acupuncture clinical trials
September 2024
This study examined the application of the Rumsfeld Matrix to acupuncture clinical trials, particularly those published in leading medical journals such as The Journal of the American Medical Association...
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Effects of needling at Sanyinjiao (SP6) acupuncture point on blood glucose levels and cardiovascular functions in patients with type 2 diabetes mellitus: a randomized placebo-controlled study
September 2024
To determine the effect of needling at Sanyinjiao (SP6) on random blood glucose (RBG) levels and cardiovascular function in patients with type 2 diabetes mellitus (T2DM)....
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A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method
September 2024
To facilitate the quality evaluation suitable for the unique characteristics of Chinese materia medica (CMM) by developing and implementing a novel approach known as the matching frequency statistical...
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Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke
September 2024
To evaluate the capability of wrist pulse analysis in distinguishing three physiological and pathological conditions: healthy individuals, coronary heart disease (CHD) patients without a history of...
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The gas discharge visualization (GDV) order parameter model based on the principle of mastering both permanence and change
September 2024
To investigate the human body’s complex system, and classify and characterize the human body’s health states with “a comprehensive integrated method from qualitative to quantitative”....
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Construction and optimization of traditional Chinese medicine constitution prediction models based on deep learning
September 2024
To cater to the demands for personalized health services from a deep learning perspective by investigating the characteristics of traditional Chinese medicine (TCM) constitution data and constructing...
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Modulation of synaptic damage by Bushen Tiansui Decoction via the PI3K signaling pathway in an Alzheimer’s disease model
September 2024
To explore the therapeutic effect and mechanism of Bushen Tiansui Decoction (补肾填髓方, BSTSD) and its active component icariin on Alzheimer’s disease (AD)....
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Deep learning-based recognition of stained tongue coating images
June 2024
To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images....
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Tongue image feature correlation analysis in benign lung nodules and lung cancer
June 2024
To analyze the differences in the correlation of tongue image indicators among patients with benign lung nodules and lung cancer....
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Study on the interaction between volatile oil components and skin lipids based on molecular docking techniques
June 2024
To analyze the interactions between different structural types of volatile oil components (VOCs) and skin lipid molecules, and investigate the mechanism of volatile oil in Chinese materia medica (VOCMM)...
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Unveiling osteoprotective potential of biologically active naringenin in rats with dexamethasone-induced osteoporosis
June 2024
To investigate the protective effects of naringenin (NRG) against dexamethasone (DEX)-induced osteoporosis (OP) in rats....
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An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data
June 2024
Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure (HBV-ACLF) generally have small sample sizes and a class imbalance. However, most machine learning models...
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Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine
June 2024
To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis (OP) leveraging bioinformatics and machine learning methodologies, and to predict the active ingredients...
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The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine
June 2024
Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes. With the development of intelligent diagnosis in traditional Chinese medicine (TCM), artificial intelligence...
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Constitution identification model in traditional Chinese medicine based on multiple features
June 2024
To construct a precise model for identifying traditional Chinese medicine (TCM) constitutions, thereby offering optimized guidance for clinical diagnosis and treatment planning, and ultimately enhancing...
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Antidepressant effects of Yuanzhi (Polygalae Radix) extract on chronic unpredictable mild stress-induced depression in rats: modulation of the NLRP3 inflammasome and NF-κB pathway
June 2024
To investigate the antidepressant effects of Yuanzhi (Polygalae Radix, PR) aqueous extract on chronic unpredictable mild stress (CUMS)-induced depression rat models and the underlying mechanisms....
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Zuogui Jiangtang Jieyu Formula ameliorating hippocampal neuronal apoptosis in diabetic rats with depression by inhibiting JNK signaling pathway
June 2024
To investigate the effect of Zuogui Jiangtang Jieyu Formula (左归降糖解郁方, ZJJF) on hippocampal neuron apoptosis in diabetic rats with depression and to ascertain whether its mechanism involves the regulation...
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Influencing factors analysis of dynamic change of TCM constitution based on multiple methods
March 2024
This study aimed to explore the influencing factors of dynamic changes in traditional Chinese medicine (TCM) constitution based on general statistics, Apriori-DEMATEL algorithm, and DoWhy causal inference...
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A novel deep learning based cloud service system for automated acupuncture needle counting: a strategy to improve acupuncture safety
March 2024
The unintentional retention of needles in patients can lead to severe consequences. To enhance acupuncture safety, the study aimed to develop a deep learning-based cloud system for automated process...
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Mechanism of Wenyang Shengji Ointment in treating diabetic wounds based on network pharmacology and animal experiments
March 2024
To explore the mechanism of Wenyang Shengji Ointment (温阳生肌膏, WYSJO) in the treatment of diabetic wounds from the perspective of network pharmacology, and to verify it by animal experiments....
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Differences in pulse manifestations at Cunkou based on simplified modeling of tactile sensing
March 2024
In the theories of pulse disgnosis in traditional Chinese medicine (TCM), it is emphasized that pulse manifestations at the radial artery within the wrist (called Cunkou) signify the physiological and...
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Intelligent question answering system for traditional Chinese medicine based on BSG deep learning model: taking prescription and Chinese materia medica as examples
March 2024
To construct a traditional Chinese medicine (TCM) knowledge base using knowledge graph based on deep learning methods, and to explore the application of joint models in intelligent question answering...
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