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Приказ резултата 11-20 од 46
An investigation into the usefulness of generalized regression neural network analysis in the development of level A in vitro-in vivo correlation
(Elsevier Science BV, Amsterdam, 2007)
Quantitative correlations between in vivo and in vitro data (IVIVC) reduce the number of human in vivo studies, thus decreasing the overall time and expenses necessary for the development of optimal drug product formulation. ...
Coupled in silico platform: Computational fluid dynamics (CFD) and physiologically-based pharmacokinetic (PBPK) modelling
(Elsevier Science BV, Amsterdam, 2018)
One of the critical components of the respiratory drug delivery is the manner in which the inhaled aerosol is deposited in respiratory tract compartments. Depending on formulation properties, device characteristics and ...
Population exposure-response model of 131I in patients with benign thyroid disease
(Elsevier B.V., 2021)
Purpose: The study aimed to explore the relationship of different exposure measures with 131I therapy response in patients with benign thyroid disease, estimate the variability in the response, investigate possible covariates, ...
An alkylpolyglucoside surfactant as a prospective pharmaceutical excipient for topical formulations: The influence of oil polarity on the colloidal structure and hydrocortisone in vitro/in vivo permeation
(Elsevier Science BV, Amsterdam, 2007)
There is a growing need for research into new skin- and environment-friendly surfactants. This paper focuses on a natural surfactant of an alkylpolyglucoside type, which can form both thermotropic and lyotropic liquid-crystalline ...
Analysis of fluidized bed granulation process using conventional and novel modeling techniques
(Elsevier Science BV, Amsterdam, 2011)
Various modeling techniques have been applied to analyze fluidized-bed granulation process. Influence of various input parameters (product, inlet and outlet air temperature, consumption of liquid-binder, granulation ...
Statistical and machine learning tools in evaluation and optimization of modified release products
(Elsevier Science BV, Amsterdam, 2011)
Drug release control and system understanding of sucrose esters matrix tablets by artificial neural networks
(Elsevier Science BV, Amsterdam, 2011)
Artificial neural networks (ANNs) were applied for system understanding and prediction of drug release properties from direct compacted matrix tablets using sucrose esters (SEs) as matrix-forming agents for controlled ...
Optimization of dissolution method for nimesuluide tablets using response surface methodology
(Elsevier Science BV, Amsterdam, 2011)
Fludized hot melt granulation: in situ vs. Spray-on procedure
(Elsevier Science BV, Amsterdam, 2011)
Characteristics of low-density and high-density lipoprotein subclasses in pediatric renal transplant recipients
(Elsevier Science BV, Amsterdam, 2011)