AIMC Topic: Artemisinins
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms.
Malaria journal
Jul 24, 2025
BACKGROUND: Machine learning algorithms have been used to predict malaria risk and severity, identify immunity biomarkers for malaria vaccine candidates, and determine molecular biomarkers of antimalarial drug resistance. Developing these prediction ...
QSAR Study of Artemisinin Analogues as Antimalarial Drugs by Neural Network and Replacement Method.
Drug research
May 30, 2017
Quantitative structure-activity relationship (QSAR) models were derived for 179 analogues of artemisinin, a potent antimalarial agent. Molecular descriptors derived solely from molecular structure were used to represent molecular structure. Utilizing...
FABRICATION AND EVALUATION OF SMART NANOCRYSTALS OF ARTEMISININ FOR ANTIMALARIAL AND ANTIBACTERIAL EFFICACY.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Nanocrystals have the potential to substantially increase dissolution rate, solubility with subsequent enhanced bioavailability via the oral route of a range of poor water soluble drugs. Regardless of other issues, scale up of the batch s...
[Effect of dihydroartemisinin on multidrug resistance of human oral squamous cell carcinoma cell line KBV200 by regulating ROS-MAPK pathway].
Shanghai kou qiang yi xue = Shanghai journal of stomatology
Dec 1, 2019
PURROSE: To investigate the effect of dihydroartemisinin (DHA) on multidrug resistance of human oral squamous cell carcinoma cell line KBV200 and to explore its relationship with ROS-MAPK pathway.
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