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32 ta ish

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

  1. Determination of solubility of Aprepitant (an antiemetic drug for chemotherapy) in supercritical carbon dioxide: Empirical and thermodynamic models

    Gholamhossein Sodeifian, Seyed Ali Sajadian, Nedasadat Saadati Ardestani

    Maqola20176 iqtibos
    ABI

  2. Solubility of famotidine in supercritical carbon dioxide: Experimental measurement and thermodynamic modeling

    Nedasadat Saadati Ardestani, Seyed Ali Sajadian, Adrián Rojas +2

    Maqola20234 iqtibos
    ABI

  3. Solubilities of Flutamide, Dutasteride, and Finasteride as Antiandrogenic Agents, in Supercritical Carbon Dioxide: Measurement and Correlation

    Yadollah Yamini, Pardis Kalantarian, Mohammad Hojjati +4

    Maqola20093 iqtibos
    ABI

  4. Medium Gaussian SVM, Wide Neural Network and stepwise linear method in estimation of Lornoxicam pharmaceutical solubility in supercritical solvent

    Tao Wang, Chia‐Hung Su

    Maqola20213 iqtibos
    ABI

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

    Mohammed Ghazwani, M. Yasmin Begum

    Maqola20233 iqtibos
    ABI

  6. Determination of the Solubility of the Repaglinide Drug in Supercritical Carbon Dioxide: Experimental Data and Thermodynamic Modeling

    Gholamhossein Sodeifian, Seyed Mojtaba Hazaveie, Seyed Ali Sajadian +1

    Maqola20193 iqtibos
    ABI

  7. Utilization of supercritical CO2 gas antisolvent (GAS) for production of Capecitabine nanoparticles as anti-cancer drug: Analysis and optimization of the process conditions

    Mitra Amani, Nedasadat Saadati Ardestani, Navid Yeganeh Majd

    Maqola20213 iqtibos
    ABI

  8. Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO<sub>2</sub>: Experimental Analysis and Artificial Intelligence Study

    Oday Sajjad Alsawad, Ahmad AlHamad, Carlos Rodriguez‐Benites +8

    Maqola20243 iqtibos
    ABI

  9. Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability

    Walid Kamal Abdelbasset, Safaa M. Elkholi, Khadiga Ahmed Ismail +5

    Maqola20222 iqtibos
    ABI

  10. Machine learning based modeling for estimation of drug solubility in supercritical fluid by adjusting important parameters

    Yaoyang Liu, Morug Salih Mahdi, Usama Kadem Radi +7

    Maqola20242 iqtibos
    ABI

  11. Studies on solubility measurement of codeine phosphate (pain reliever drug) in supercritical carbon dioxide and modeling

    Gholamhossein Sodeifian, Chandrasekhar Garlapati, Maryam Arbab Nooshabadi +2

    Maqola20232 iqtibos
    ABI

  12. Weighted Least Squares Fitting Using Ordinary Least Squares Algorithms

    Henk A. L. Kiers

    Maqola19972 iqtibos
    ABI

  13. Nanoparticle size control of theophylline using rapid expansion of supercritical solutions (RESS) technique

    Jun‐ichi Sakabe, Hirohisa Uchida

    Maqola20222 iqtibos
    ABI

  14. A comprehensive study of pharmaceutics solubility in supercritical solvent through diverse thermodynamic and hybrid Machine learning approaches

    Yu Yang, Chen Sun, Wenxiao Jiang

    Maqola20242 iqtibos
    ABI

  15. Modelling using Polynomial Regression

    Eva Ostertagová

    Maqola20122 iqtibos
    ABI

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