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References from Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility. Local targets link to admitted publications; unresolved targets remain external evidence.
API co-crystals – trends in CMC-related aspects of pharmaceutical development beyond solubility
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Improved solubility and hygroscopicity of enoxacin by pharmaceutical salts formation with hydroxybenzonic acids via charge assisted hydrogen bond
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Experimental evaluation and thermodynamic analysis of febuxostat solubility in supercritical solvent
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Estimating the solubility of salsalate in supercritical CO2 via PC-SAFT modeling using its experimental solubility data in organic solvents
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Thermodynamic modeling of pharmaceuticals solubility in pure, mixed and supercritical solvents
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Development and validation of machine learning models for prediction of nanomedicine solubility in supercritical solvent for advanced pharmaceutical manufacturing
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Medium Gaussian SVM, wide neural network and stepwise linear method in estimation of lornoxicam pharmaceutical solubility in supercritical solvent
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Measurement and correlation of the solubility of two steroid drugs in supercritical carbon dioxide using semi empirical models
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Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing
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Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles
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Computational study and experimental validation on the solubility of drugs in supercritical solvent for assessment of nanomedicine production via green technology for enhanced drug bioavailability
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Computational intelligence modeling using artificial intelligence and optimization of processing of small-molecule API solubility in supercritical solvent
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