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ABOUT JoVE

Overview Leadership Blog JoVE Help Center

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Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

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JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

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G P Moss

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SAR and QSAR in Environmental Research|March 19, 2015

The application of machine learning to the modelling of percutaneous absorption: an overview and guideP Ashrafi, G P Moss, S C Wilkinson, et al.

The Journal of Pharmacy and Pharmacology|November 2, 2005

Discriminant analysis as a tool to identify compounds with potential as transdermal enhancersW J Pugh, R Wong, F Falson, et al.

Pharmaceutical Research|April 23, 1999

Changes in skin A.C. impedance parameters in vivo during the percutaneous absorption of local anestheticsA D Woolfson, G P Moss, D F McCafferty, et al.

European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|November 22, 2011

The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancersG P Moss, A J Shah, R G Adams, et al.

Pageof 2

Search research articles

Showing results (11-20 of 14) with videos related to

Sort By:

Pageof 2

You have reached the last page of results.This site can display upto 14 results.

SAR and QSAR in Environmental Research|March 19, 2015

The application of machine learning to the modelling of percutaneous absorption: an overview and guideP Ashrafi, G P Moss, S C Wilkinson, et al.

The Journal of Pharmacy and Pharmacology|November 2, 2005

Discriminant analysis as a tool to identify compounds with potential as transdermal enhancersW J Pugh, R Wong, F Falson, et al.

Pharmaceutical Research|April 23, 1999

Changes in skin A.C. impedance parameters in vivo during the percutaneous absorption of local anestheticsA D Woolfson, G P Moss, D F McCafferty, et al.

European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|November 22, 2011

The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancersG P Moss, A J Shah, R G Adams, et al.

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