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Ish: Machine learning model for prediction of drug solubility in supercritical solvent: Modeling and experimental validation

1. Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling

   Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur +10

   MaqolaPhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.000512

2. Machine learning estimation and optimization for evaluation of pharmaceutical solubility in supercritical carbon dioxide for improvement of drug efficacy

   Hadil Faris Alotaibi, Chou‐Yi Hsu, Fadhil Faez Sead +7

   MaqolaComputational Drug Discovery MethodsScientific Reports20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.003214