AIMC Topic: Digoxin

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Effect of Oregon grape root extracts on P-glycoprotein mediated transport in cell lines.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques Jan 18, 2024
This study aims to investigate the potential of Oregon grape root extracts to modulate the activity of P-glycoprotein. We performed H-CsA or H-digoxin transport experiments in the absence or presence of two sources of Oregon grape root extracts (E1...
Cyclosporine Biological Transport Animals Digoxin Caco-2 Cells Plant Extracts ATP Binding Cassette Transporter, Subfamily B, Member 1 Plant Roots Humans Berberine Dogs Mahonia Madin Darby Canine Kidney Cells
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Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.

Journal of biomedical informatics Aug 17, 2022
Combination pharmacotherapy targets key disease pathways in a synergistic or additive manner and has high potential in treating complex diseases. Computational methods have been developed to identifying combination pharmacotherapy by analyzing large ...
Electronic Health Records Hypertension Machine Learning Phenotype Digoxin Humans Hydrochlorothiazide Drug Combinations Natural Language Processing
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Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography.

International journal of environmental research and public health Apr 6, 2021
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to its narrow therapeutic window. Misdiagnosis or delayed diagnosis of digoxin toxicity is common due to the lack of awareness and the time-consuming lab...
Deep Learning Algorithms Humans Digoxin Electrocardiography Artificial Intelligence Retrospective Studies
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Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network.

BMC pediatrics Dec 27, 2019
BACKGROUND: Given its narrow therapeutic range, digoxin's pharmacokinetic parameters in infants are difficult to predict due to variation in birth weight and gestational age, especially for critically ill newborns. There is limited evidence to suppor...
Infant, Newborn Male Retrospective Studies Female Intensive Care Units, Neonatal Ductus Arteriosus, Patent Digoxin Linear Models Humans Neural Networks, Computer Forecasting
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Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach.

Journal of healthcare engineering Aug 19, 2018
Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin toxicity cases are preventable, which motivated us to improve the treatment outcomes of digoxin. The ob...
Drug-Related Side Effects and Adverse Reactions Digoxin Anti-Arrhythmia Agents Middle Aged Aged, 80 and over Decision Support Systems, Clinical Young Adult Female Humans Adult Aged Machine Learning Male
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Predicting the physiological response of Tivela stultorum hearts with digoxin from cardiac parameters using artificial neural networks.

Bio Systems Nov 15, 2016
Multi-layer perceptron artificial neural networks (MLP-ANNs) were used to predict the concentration of digoxin needed to obtain a cardio-activity of specific biophysical parameters in Tivela stultorum hearts. The inputs of the neural networks were th...
Bivalvia Cardiotonic Agents Models, Cardiovascular Myocardial Contraction Heart Animals Neural Networks, Computer Digoxin Algorithms Signal Processing, Computer-Assisted
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