Numerical optimization of Lenalidomide immunomodulatory drug inside the supercritical carbon dioxide system using different machine learning models-Reference-Cited by-同舟云学术

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Numerical optimization of Lenalidomide immunomodulatory drug inside the supercritical carbon dioxide system using different machine learning models

Published:2024-01 Issue: Volume:393 Page:123647
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Abu Lila Amr Selim,Khalid Awais,Alotaibi Bader S.,Khafagy El-Sayed,Ramesh VRNS,Haider Nazima,Ghazwani Mohammed,Hani Umme

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference44 articles.

1. Drug repurposing: a promising tool to accelerate the drug discovery process;Parvathaneni;Drug Discov. Today,2019

2. Exploring different approaches to improve the success of drug discovery and development projects: a review;Kiriiri;Future Journal of Pharmaceutical Sciences,2020

3. Mesoporous silica nanoparticles as a versatile nanocarrier for cancer treatment: A review;Taleghani;J. Mol. Liq.,2021

4. When poor solubility becomes an issue: from early stage to proof of concept;Stegemann;Eur. J. Pharm. Sci.,2007

5. Overcoming the challenge of poor drug solubility;Kakran;Pharm Eng,2012

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