Multiobjective optimization of fluphenazine nanocomposite formulation using NSGA-II method

Multiobjective optimization of fluphenazine nanocomposite formulation using NSGA-II method

The World Health Organization (WHO, 2019) reports that schizophrenia affects approximately 20 million people worldwide, and the annual number of new cases is estimated at 1.5%/10,000 people. As a result, there is a demand for making the relevant medicines work better. Using a fluphenazine (FZN) drug...

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Bibliographic Details
Main Authors: Hussein-Al-Ali, S.H (Author), Ramadan, S.Z (Author), Sharar, A.A.A (Author)
Format: Article
Language:English
Published: Sciendo 2022
Subjects:
Analysis of variance (ANOVA)
Controlled drug delivery
Delivery systems
Design of experiments
Differential scanning calorimetry
Diseases
Drug products
Fabrication parameters
fluphenazine drug
Fluphenazine drug
Fourier transform infrared spectroscopy
Genetic algorithms
Mixture design
mixture design of experiment
Mixture design of experiment
Mixtures
multiobjective optimization
Multiobjective optimization
Multi-objectives optimization
Nanocomposites
nanoparticles
Nanoparticles
NSGA-II
Optimization approach
regression analysis
Regression analysis
Regression modelling
Sodium compounds
Targeted drug delivery
World Health Organization
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