AIMC Topic: Indomethacin
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Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jan 10, 2025
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-...
Application of machine learning in prediction of hydrotrope-enhanced solubilisation of indomethacin.
International journal of pharmaceutics
Jul 18, 2017
Systematic in-vitro studies have been conducted to determine the ability of a range of 10 potential hydrotropes to improve the apparent aqueous solubility of the poorly water soluble drug, indomethacin. Solubilisation of the drug in the presence of t...
A methodological evaluation and predictive in silico investigation into the multi-functionality of arginine in directly compressed tablets.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Aug 5, 2015
The acceleration of solid dosage form product development can be facilitated by the inclusion of excipients that exhibit poly-/multi-functionality with reduction of the time invested in multiple excipient optimisations. Because active pharmaceutical ...
Algorithms
Computational Biology
Anti-Inflammatory Agents, Non-Steroidal
Porosity
Tablets
Drug Liberation
Powders
Expert Systems
Drug Compounding
Arginine
Microscopy, Electron, Scanning
Surface Properties
Elasticity
Static Electricity
Tensile Strength
Statistics as Topic
Mechanical Phenomena
Excipients
Compressive Strength
Indomethacin
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