Работы, цитирующие эту работу

Работ: 3

Работа: Machine learning aided drug development: Assessing improvement of drug efficiency by correlation of solubility in supercritical solvent for nanomedicine preparation

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

   СтатьяPhase Equilibria and ThermodynamicsJournal of CO2 Utilization2025Цитирований: 0

   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

   СтатьяComputational Drug Discovery MethodsScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003214

3. Utilization of sequential model-based optimizer integrated machine learning models in correlation of famotidine solubility in supercritical carbon dioxide

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

   СтатьяPhase Equilibria and ThermodynamicsScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.009068