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Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques 26670371

PURPOSE: The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs),...

Adult Algorithms Anticonvulsants Carbamazepine Chromatography, High Pressure Liquid Drug Interactions Epilepsy Female Fructose Glomerular Filtration Rate Humans Machine Learning Male Middle Aged Neural Networks, Computer Topiramate

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Developing an Artificial Intelligence-Guided Signal Detection in the Food and Drug Administration Adverse Event Reporting System (FAERS): A Proof-of-Concept Study Using Galcanezumab and Simulated Data.

Drug safety 37300636

INTRODUCTION: Time- and resource-demanding activities related to processing individual case safety reports (ICSRs) include manual procedures to evaluate individual causality with the final goal of dismissing false-positive safety signals. Eminent exp...

Adverse Drug Reaction Reporting Systems Amitriptyline Artificial Intelligence Databases, Factual Drug-Related Side Effects and Adverse Reactions Humans Topiramate United States United States Food and Drug Administration

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Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

Headache 39176658

OBJECTIVE: To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications.

Adrenergic beta-Antagonists Adult Antidepressive Agents, Tricyclic Cohort Studies Female Humans Machine Learning Male Middle Aged Migraine Disorders Precision Medicine Topiramate Treatment Outcome

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Topiramate

Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy.

Developing an Artificial Intelligence-Guided Signal Detection in the Food and Drug Administration Adverse Event Reporting System (FAERS): A Proof-of-Concept Study Using Galcanezumab and Simulated Data.

Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

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