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The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
(2011-11)
Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ...
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
(2010)
Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ...
Prediction of skin penetration using machine learning methods
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we applyK-nearest-neighbour ...