Bibliometric analysis on research hotspots and evolutionary trends of artificial intelligence application in traditional Chinese medicine diagnosis
June 2023
To explore the development and research hotspots on the application of artificial intelligence (AI) in traditional Chinese medicine (TCM) diagnosis and predict research trends in the area....
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Mechanisms of Yangxin Tongmai Formula for blood stasis syndrome in coronary heart disease rats based on untargeted plasma metabolomics and intestinal flora 16S rRNA sequencing
June 2023
To investigate the correlations between intestinal flora, plasma metabolites, and blood stasis syndrome in coronary heart disease (CHD), and the mechanisms of Yangxin Tongmai Formula (养心通脉方, YXTMF)...
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Mechanisms of Wuyao (Linderae Radix) in treating chronic pelvic inflammatory disease based on network pharmacology and animal experiments
June 2023
To predict the active components and action targets of Wuyao (Linderae Radix) in the treatment of chronic pelvic inflammatory disease (CPID) based on network pharmacology, explore possible mechanisms...
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Grey correlation analysis on influencing factors of Yang deficiency constitution
June 2023
To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine (TCM) from the perspective of mathematics with the use of calculation formulas, so as to protect patients...
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Chlorogenic acid loaded niosomes and proniosomes: in vitro antioxidant and antibacterial activities with efficacy in wound healing
June 2023
To develop and optimize niosomal and proniosomal vesicular delivery systems for a naturally occurring polyphenol chlorogenic acid (CGA), so as to improve its physicochemical properties and permeability,...
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Medication and prescription rules for treating spleen and stomach diseases in Prescriptions of Peaceful Benevolent Dispensary
June 2023
To explore the prescriptions related to the treatment of spleen and stomach diseases in Prescriptions of Peaceful Benevolent Dispensary (Tai Ping Hui Min He Ji Ju Fang,《太平惠民和剂局方》, TPHMHJJF), and investigate...
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Hotspots and comparative analysis of international acupuncture research over the past decade via Web of Science
March 2023
This study aims to summarize the hotspots of acupuncture research in China and abroad in recent 10 years....
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Potential targets and mechanisms of Guarana in the treatment of Alzheimer’s disease based on network pharmacology
March 2023
To dig the main active components and predict potential mechanisms of Guarana in the treatment of Alzheimer’s disease (AD) by network pharmacology method and molecular docking....
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Comparative polypharmacokinetics of nine anti-inflammatory components of Jinyinhua (Lonicerae Japonicae Flos) and Shanyinhua (Lonicerae Flos) in mice with p-xylene-induced ear edema
March 2023
To reveal the integral in vivo polypharmacokinetics (PPK) similarity or difference between Jinyinhua (Lonicerae Japonicae Flos, LJF) and Shanyinhua (Lonicerae Flos, LF), and provide reference for their...
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Antidepressant-like active ingredients and their related mechanisms of functional foods or medicine and food homologous products
March 2023
To provide a new idea for the treatment of depression by summarizing the antidepressant effect and mechanism of active ingredients in functional food, and medicine and food homologous products....
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Mechanism of Yishen Tonglong Decoction inhibiting TLR4/p38 MAPK/NF-κB signaling pathway against prostate cancer via upregulating miR-145-5p
March 2023
To investigate the mechanism of Yishen Tonglong Decoction (益肾通癃汤, YSTLD) inhibiting the toll-like receptor 4/p38 mitogen activated protein kinases/nuclear factor kappa-B (TLR4/p38 MAPK/NF-κB) signaling...
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Establishment of basic principles and methods of acupuncture standardization in traditional Chinese medicine
March 2023
Standardization is the universal language of the world, and standardization of traditional Chinese medicine (TCM) is essential for its communication in China and globally. However, the principles and...
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Structure-based virtual screening to predict Loxosceles spider venom natural inhibitors
March 2023
Loxosceles spider bite accidents are rising in wide areas of the world which necessitates the exploration of natural inhibitors to inhibit the most significant enzymes, namely sphingomyelinase D (Smase...
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Visual analysis of research hotspots and trends of external therapies in traditional Chinese medicine for insomnia
March 2023
To explore the current status and development trend of research on external therapies in traditional Chinese medicine (TCM) for insomnia over the past 10 years through bibliometrics and visual analysis,...
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Artificial intelligence and its application for cardiovascular diseases in Chinese medicine
December 2022
Cardiovascular diseases (CVDs) are major disease burdens with high mortality worldwide. Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease...
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Construction and application of knowledge graph of Treatise on Febrile Diseases
December 2022
To establish the knowledge graph of “disease-syndrome-symptom-method-formula” in Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) for reducing the fuzziness and uncertainty of data, and for laying...
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A new interpretation of TCM pulse diagnosis based on quantum physical model of the human body
December 2022
Following the quantum theory-based physical model of the human body, a new interpretation of the traditional Chinese medicine (TCM) principle of “Cunkou reads viscera” is presented. Then, a Gaussian...
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Quantum theory-based physical model of the human body in TCM
December 2022
In the study, a quantum resonant cavity model based on wave-particle duality was proposed for the explanation of the dynamic processes of essence, vigor, and spirit in the human body in traditional...
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Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network
December 2022
To construct symptom-formula-herb heterogeneous graphs structured Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) dataset and explore an optimal learning method represented with node attributes based...
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Data-driven based four examinations in TCM: a survey
December 2022
Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience. Its thinking mode in the process is different from that...
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Research on knowledge reasoning of TCM based on knowledge graphs
December 2022
With the widespread use of Internet, the amount of data in the field of traditional Chinese medicine (TCM) is growing exponentially. Consequently, there is much attention on the collection of useful...
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MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation
December 2022
For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net)...
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Application regularity of medicinal and dietary substances for patients during COVID-19 rehabilitation
September 2022
This study focused on the application regularity of medicinal and dietary substances (MDS) of traditional Chinese medicine (TCM) diet therapy during rehabilitation, in order to help patients with Corona...
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