Deep eutectic solvents enhancing drug solubility and its delivery
Deep eutectic solvents (DES) are environmentally friendly solvents with the potential to
dissolve bioactive compounds without affecting their characteristics. DES has special …
dissolve bioactive compounds without affecting their characteristics. DES has special …
[HTML][HTML] Battery management solutions for li-ion batteries based on artificial intelligence
The automobile industry is currently undergoing a paradigm change from conventional,
diesel, and gasoline-powered vehicles to hybrid and electric vehicles of the second …
diesel, and gasoline-powered vehicles to hybrid and electric vehicles of the second …
Machine learning-assisted rheumatoid arthritis formulations: a review on smart pharmaceutical design
Rheumatoid arthritis (RA) is a long-lasting autoimmune condition that causes significant
suffering among those affected. The medications used to treat this disease, including …
suffering among those affected. The medications used to treat this disease, including …
Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: Gradient boosting, extra trees, and random forest …
This work presents the results of using tree-based models, including Gradient Boosting,
Extra Trees, and Random Forest, to model the solubility of hyoscine drug and solvent …
Extra Trees, and Random Forest, to model the solubility of hyoscine drug and solvent …
[HTML][HTML] Measurement of metoprolol solubility in supercritical carbon dioxide; experimental and modeling study
Metoprolol is a beta-blocker agent, widely used to treat hypertension, and some heart
diseases. However, due to low bioavailability and short half-life of this drug, the dose and …
diseases. However, due to low bioavailability and short half-life of this drug, the dose and …
Enhancing drugs bioavailability using nanomedicine approach: Predicting solubility of Tolmetin in supercritical solvent via advanced computational techniques
Preparation of nanodrug has been a subject of great interest in pharmaceutical
manufacturing due to the inherent high solubility of drug nanoparticles in aqueous media …
manufacturing due to the inherent high solubility of drug nanoparticles in aqueous media …
[HTML][HTML] Theoretical investigation on optimization of biodiesel production using waste cooking oil: Machine learning modeling and experimental validation
In order to optimize productin of biodiesel from waste cooking oil utilizing Fe-exchanged
montmorillonite 12 K10 (Fe-MMT K10) heterogeneous catalyst was applied in this work. The …
montmorillonite 12 K10 (Fe-MMT K10) heterogeneous catalyst was applied in this work. The …
[HTML][HTML] Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization
Nowadays, supercritical fluid technology (SFT) has been an interesting scientific subject in
disparate industrial-based activities such as drug delivery, chromatography, and purification …
disparate industrial-based activities such as drug delivery, chromatography, and purification …
Mathematical modeling and numerical simulation of supercritical processing of drug nanoparticles optimization for green processing: AI analysis
K Aljohani - PloS one, 2024 - journals.plos.org
In recent decades, unfavorable solubility of novel therapeutic agents is considered as an
important challenge in pharmaceutical industry. Supercritical carbon dioxide (SCCO2) is …
important challenge in pharmaceutical industry. Supercritical carbon dioxide (SCCO2) is …
[HTML][HTML] Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning …
The current study aims at modeling the solubility of anti-cancer agents in supercritical
carbon dioxide (SC-CO 2). An extensive databank, including 893 measured samples for 33 …
carbon dioxide (SC-CO 2). An extensive databank, including 893 measured samples for 33 …