AIMC Topic: Carbamazepine

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Classification and regression machine learning models for predicting mixed toxicity of carbamazepine and its transformation products.

Environmental research Feb 8, 2025
Carbamazepine (CBZ) and its transformation products (TPs) often occur in aquatic environments in the form of mixtures, posing potential risks to ecosystems. However, establishing standardized protocols for synthesizing, isolating, and acquiring these...
Regression Analysis Anticonvulsants Acridines Water Pollutants, Chemical Models, Statistical Toxicity Tests Vibrio Carbamazepine Proflavine Machine Learning Quantitative Structure-Activity Relationship
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Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning.

Chemosphere Jun 24, 2024
A prediction model based on XGBoost is proposed for ultrasonic degradation of micropollutants' kinetic constants. After parameter optimization through iteration, the model achieves Evaluation metrics with R and SMAPE reaching 0.99 and 2.06%, respecti...
Benzhydryl Compounds Phenols Machine Learning Ibuprofen Water Pollutants, Chemical Carbamazepine Ultrasonics Kinetics
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UHPLC-MS/MS method for simultaneous determination of carbamazepine and its seven major metabolites in serum of epileptic patients.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Dec 14, 2018
Carbamazepine (CBZ) was considered as the drug of choice in the treatment for various forms of epilepsy, yet the non-negligible adverse effects of CBZ suspend as the major concern for rational and efficient clinical medication. This study developed a...
Chromatography, High Pressure Liquid Tandem Mass Spectrometry Carbamazepine Dibenzazepines Epilepsy Humans Acridines Drug Monitoring Metabolome
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Artificial neural networks (ANNs) and partial least squares (PLS) regression in the quantitative analysis of cocrystal formulations by Raman and ATR-FTIR spectroscopy.

Journal of pharmaceutical and biomedical analysis Jun 4, 2018
The present work describes the development of an efficient, fast and accurate method for the quantification of polymer-based cocrystal formulations. Specifically, the content of carbamazepine-nicotinamide (CBZ/NIC) and ibuprofen-nicotinamide (IBU/NIC...
Calibration Crystallization Drug Compounding Absorption, Physicochemical Polyvinyls Ibuprofen Niacinamide Chemistry, Pharmaceutical Carbamazepine Spectrum Analysis, Raman Drug Combinations Least-Squares Analysis Polyethylene Glycols Spectroscopy, Fourier Transform Infrared Neural Networks, Computer Machine Learning
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Improving Dissolution Rate of Carbamazepine-Glutaric Acid Cocrystal Through Solubilization by Excess Coformer.

Pharmaceutical research Dec 29, 2017
PURPOSE: The use of soluble cocrystals is a promising strategy for delivering poorly soluble drugs. However, precipitation of poorly soluble crystal form during dissolution hinders the successful tablet development of cocrystals. This work was aimed ...
Kinetics Carbamazepine Tablets Glutarates Humans X-Ray Diffraction Drug Stability Solubility Crystallization Water Chemistry, Pharmaceutical Powders Viscosity
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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 Jan 1, 2015
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),...
Carbamazepine Topiramate Humans Neural Networks, Computer Algorithms Female Machine Learning Epilepsy Anticonvulsants Middle Aged Adult Glomerular Filtration Rate Male Chromatography, High Pressure Liquid Fructose Drug Interactions
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