AIMC Topic: Medicine, Chinese Traditional

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Identification of different species of Zanthoxyli Pericarpium based on convolution neural network.

PloS one Apr 13, 2020
Zanthoxyli Pericarpium (ZP) are the dried ripe peel of Zanthoxylum schinifolium Sieb. et Zucc (ZC) or Zanthoxylum bungeanum Maxim (ZB). It has wide range of uses both medicine and food, and favorable market value. The diverse specifications of compon...
Medicine, Chinese Traditional Zanthoxylum Deep Learning Smartphone Mobile Applications
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Anti-Inflammatory Activity of Sanjie Zhentong Capsule Assessed By Network Pharmacology Analysis of Adenomyosis Treatment.

Drug design, development and therapy Feb 20, 2020
BACKGROUND: Sanjie Zhentong capsule (SZC) offers excellent effect in treating adenomyosis (AM), which is a common and difficult gynecological disease in the clinic. However, the systematic analysis of its mechanism has not been carried out yet and fu...
Capsules RAW 264.7 Cells Databases, Pharmaceutical Cytokines Cell Survival Animals Drugs, Chinese Herbal Mice Anti-Inflammatory Agents Nitric Oxide Neural Networks, Computer Adenomyosis Medicine, Chinese Traditional Cells, Cultured Lipopolysaccharides
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Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review.

Artificial intelligence in medicine Jan 24, 2020
Modern computer technology sheds light on new ways of innovating Traditional Chinese Medicine (TCM). One method that gets increasing attention is the quantitative research method, which makes use of data mining and artificial intelligence technology ...
Humans Data Mining Artificial Intelligence Biomedical Research Medicine, Chinese Traditional
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Predicting the Associations between Meridians and Chinese Traditional Medicine Using a Cost-Sensitive Graph Convolutional Neural Network.

International journal of environmental research and public health Jan 23, 2020
Natural products are the most important and commonly used in Traditional Chinese Medicine (TCM) for healthcare and disease prevention in East-Asia. Although the Meridian system of TCM was established several thousand years ago, the rationale of Merid...
Deep Learning Biological Products Medicine, Chinese Traditional Neural Networks, Computer Meridians Algorithms
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An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as an Example.

Computational and mathematical methods in medicine Oct 1, 2019
In this work, an ontology-based model for AI-assisted medicine side-effect (SE) prediction is developed, where three main components, including the drug model, the treatment model, and the AI-assisted prediction model, of the proposed model are prese...
Medicine, Chinese Traditional Algorithms Humans Data Collection Patient Safety Neural Networks, Computer Drugs, Chinese Herbal Pattern Recognition, Automated Reproducibility of Results Artificial Intelligence Drug-Related Side Effects and Adverse Reactions
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System-Pharmacology Dissection of Traditional Chinese herbs SINI Decoction for Treatment of Cardiovascular Diseases.

Anais da Academia Brasileira de Ciencias Sep 23, 2019
Abstract: Cardiovascular diseases (CVDs) are leading causes of death in the world, owing to noticeable incidence and mortality. Traditional Chinese Medicine (TCM) SINI Decoction (SND) is used to prevent and treat CVDs, which has attracted extensive ...
Medicine, Chinese Traditional Drugs, Chinese Herbal Models, Biological Neural Networks, Computer Cardiovascular Diseases Systems Biology Humans
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Artificial Intelligence Approach To Investigate the Longevity Drug.

The journal of physical chemistry letters Aug 14, 2019
Longevity is a very important and interesting topic, and has been demonstrated to be related to longevity. We combined network pharmacology, machine learning, deep learning, and molecular dynamics (MD) simulation to investigate potent lead drugs. Re...
Binding Sites Thermodynamics Receptor, Insulin Antigens, CD Ligands Inhibitory Concentration 50 Protein Binding Signal Transduction Medicine, Chinese Traditional Klotho Proteins Glucuronidase Receptor, IGF Type 1 Molecular Docking Simulation Drug Discovery Protein Interaction Maps Artificial Intelligence Algorithms Databases, Factual
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Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.

BioMed research international Jul 10, 2019
Xiaoxuming decoction (XXMD), a classic traditional Chinese medicine (TCM) prescription, has been used as a therapeutic in the treatment of stroke in clinical practice for over 1200 years. However, the pharmacological mechanisms of XXMD have not yet b...
Stroke Neuroprotection Brain Drugs, Chinese Herbal Humans Hydrogen Peroxide Medicine, Chinese Traditional Bayes Theorem Machine Learning Algorithms
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An ontological framework for the formalization, organization and usage of TCM-Knowledge.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: The traditional Chinese Medicine Language System (TCMLS) is a large-scale terminology system, developed from 2002 on by the Institute of Information of Traditional Chinese Medicine (IITCM). Until now, more than 120,000 concepts, 300,000 t...
Decision Support Systems, Clinical Medicine, Chinese Traditional Natural Language Processing Humans Knowledge Bases Language Information Storage and Retrieval Semantics
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Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

Journal of chemical information and modeling Apr 2, 2019
It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD). On the basis of the world largest traditional Chinese medicine (TCM) database, a network-pharmacology-based approach was utilized to investigate TCM ...
Molecular Dynamics Simulation Alzheimer Disease Computational Biology Drug Compounding Support Vector Machine Databases, Pharmaceutical Molecular Docking Simulation Medicine, Chinese Traditional Glycogen Synthase Kinase 3 Deep Learning Quantitative Structure-Activity Relationship Protein Interaction Maps Protein Conformation
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