AIMC Topic: Drugs, Chinese Herbal

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Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.

Cerebrovascular diseases (Basel, Switzerland) Oct 26, 2023
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Recovery of Function Randomized Controlled Trials as Topic Acute Disease Multicenter Studies as Topic Male Cerebral Hemorrhage Middle Aged Time Factors China Female Treatment Outcome Drugs, Chinese Herbal Aged Adult Functional Status Disability Evaluation Humans Prospective Studies Double-Blind Method
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Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning.

Journal of ethnopharmacology Sep 28, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese medicine (TCM) meridian is the key theoretical guidance of prescription against tumor in clinical practice. However, there is no scientific and systematic verification of therapeutic action of herbs...
Humans Artificial Intelligence Phytochemicals Drugs, Chinese Herbal Meridians Deep Learning Medicine, Chinese Traditional Neoplasms
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Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches.

Food chemistry Apr 19, 2023
The Radix Paeoniae Alba (Baishao) is a traditional Chinese medicine (TCM) with numerous clinical and nutritional benefits. Rapid and accurate identification of the geographical origins of Baishao is crucial for planters, traders and consumers. Hypers...
Hyperspectral Imaging Deep Learning Plant Roots Medicine, Chinese Traditional Drugs, Chinese Herbal
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TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction.

Signal transduction and targeted therapy Mar 31, 2023
Humans Databases, Factual Drugs, Chinese Herbal Deep Learning Medicine, Chinese Traditional
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Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review.

Critical reviews in analytical chemistry Mar 26, 2023
The authenticity and quality of traditional Chinese medicine (TCM) directly impact clinical efficacy and safety. Quality assessment of traditional Chinese medicine (QATCM) is a global concern due to increased demand and shortage of resources. Recentl...
Medicine, Chinese Traditional Drugs, Chinese Herbal Quality Control Humans Machine Learning
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Determining the Stir-Frying Degree of Praeparatus Based on Deep Learning and Transfer Learning.

Sensors (Basel, Switzerland) Oct 22, 2022
Gardeniae Fructus (GF) is one of the most widely used traditional Chinese medicines (TCMs). Its processed product, Praeparatus (GFP), is often used as medicine; hence, there is an urgent need to determine the stir-frying degree of GFP. In this paper...
Deep Learning Medicine, Chinese Traditional Fruit Gardenia Drugs, Chinese Herbal
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Deep Learning Combined with Hyperspectral Imaging Technology for Variety Discrimination of .

Molecules (Basel, Switzerland) Sep 16, 2022
Traditional Chinese herbal medicine (TCHM) plays an essential role in the international pharmaceutical industry due to its rich resources and unique curative properties. The flowers, stems, and leaves of Fritillaria contain a wide range of phytochemi...
Expectorants Fritillaria Antitussive Agents Deep Learning Phytochemicals Oils, Volatile Drugs, Chinese Herbal Flavonoids Hyperspectral Imaging Technology Alkaloids Saponins
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Antistroke Network Pharmacological Prediction of Xiaoshuan Tongluo Recipe Based on Drug-Target Interaction Based on Deep Learning.

Computational and mathematical methods in medicine Aug 2, 2022
Stroke is a common cerebrovascular disease that threatens human health, and the search for therapeutic drugs is the key to treatment. New drug discovery was driven by many accidental factors in the early stage. With the deepening of research, disease...
Humans Stroke Algorithms Neural Networks, Computer Deep Learning Machine Learning Drugs, Chinese Herbal
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Metabonomic and transcriptomic analyses of glycosides tablet-induced hepatotoxicity in rats.

Drug and chemical toxicology May 23, 2022
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression related to the hepatotoxic effects of glycosides tablet (TGT) in rats. Rats were randomly divided into groups based on oral administration of TGTs for 6 w...
Tablets Glycosides Tripterygium Chemical and Drug Induced Liver Injury Rats Liver Drugs, Chinese Herbal Animals Biomarkers Transcriptome
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Evaluation Analysis of the Nephrotoxicity of Preparations with CONSORT Harms Statement Based on Deep Learning.

Journal of healthcare engineering Apr 7, 2022
In this paper, the safety of polyglycoside (TW) preparation was evaluated by combining literature research and evidence-based evaluation research, so as to provide evidence-based safety information of polyglycoside preparation (nephroptosis) for go...
Tripterygium Humans Deep Learning Drugs, Chinese Herbal Drug-Related Side Effects and Adverse Reactions Medicine, Chinese Traditional
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