AIMC Topic: Skin Absorption
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Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties.
The Journal of toxicological sciences
Apr 1, 2015
An in silico method for predicting percutaneous absorption of cosmetic ingredients was developed by using artificial neural network (ANN) analysis to predict the human skin permeability coefficient (log Kp), taking account of the physicochemical prop...
The application of machine learning to the modelling of percutaneous absorption: an overview and guide.
SAR and QSAR in environmental research
Jan 1, 2015
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 of the key issues. Specific...
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