Now showing items 1-4 of 4
A Robot Model of OC-Spectrum Disorders : Design Framework, Implementation and First Experiments
Computational psychiatry is increasingly establishing itself as valuable discipline for understanding human mental disorders. However, robot models and their potential for investigating embodied and contextual aspects of ...
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ...
An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption
Objectives: The developments in combinatorial chemistry have led to a rapid increase in drug design and discovery and, ultimately, the production of many potential molecules that require evaluation. Hence, there has been ...
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
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 ...