AIMC Topic: Theophylline

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Solvent Screening for Solubility Enhancement of Theophylline in Neat, Binary and Ternary NADES Solvents: New Measurements and Ensemble Machine Learning.

International journal of molecular sciences Jul 8, 2021
Theophylline, a typical representative of active pharmaceutical ingredients, was selected to study the characteristics of experimental and theoretical solubility measured at 25 °C in a broad range of solvents, including neat, binary mixtures and tern...
Water Models, Chemical Machine Learning Solvents Theophylline Solubility Choline
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Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.

Pharmacoepidemiology and drug safety May 14, 2020
PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational methods and pharmacoepidemiology to identify potentially disease-modifying drugs in Parkinson's disease (PD).
Artificial Intelligence Female Humans Male Case-Control Studies Aged Aged, 80 and over Pentoxifylline Antiparkinson Agents Parkinson Disease Ontario Pharmacoepidemiology Dexamethasone Theophylline Insurance Claim Review
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Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.

Journal of pharmacological sciences Jan 28, 2017
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machin...
Animals Mice, Inbred ICR Male Seizures Diphenhydramine Strychnine Mice Theophylline In Vitro Techniques CA1 Region, Hippocampal Support Vector Machine Enoxacin
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First study of the evolution of the SeDeM expert system parameters based on percolation theory: Monitoring of their critical behavior.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Oct 18, 2016
The deep understanding of products and processes has become a requirement for pharmaceutical industries to follow the Quality by Design principles promoted by the regulatory authorities. With this aim, SeDeM expert system was developed as a useful pr...
Chemistry, Pharmaceutical Lactose Linear Models Software Time Factors Expert Systems Rheology Excipients Tablets Powders Drug Compounding Theophylline
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[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce...
Strychnine Seizures Drug-Related Side Effects and Adverse Reactions Theophylline Drug Evaluation, Preclinical Diphenhydramine Enoxacin Mice Machine Learning Humans Forecasting Animals Drug Discovery
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