Image from Google Jackets

Predictive Methods in Percutaneous Absorption / by Gary P. Moss, Darren R. Gullick, Simon C. Wilkinson.

By: Moss, Gary P.
Contributor(s): SpringerLink (Online service) | Gullick, Darren R. | Wilkinson, Simon C.
Material type: materialTypeLabelE-bookPublisher: Berlin, Heidelberg : Springer, 2015Description: 1 recurso en línea (XV, 199 páginas) : 16 ilustraciones, 8 ilustraciones en color.ISBN: 9783662473719.Subject: Fisiología humana | Dermatología | FarmacologíaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Skin Structure and Physiology -- Methods for the Measurement of Percutaneous Absorption -- Mathematical Treatments and Early Models of Skin Permeability -- “Building error upon errorâ€{uA814}he New Breadth of Research in the Field -- Algorithms for Estimating Permeability Across Artificial Membranes -- Other Approaches to Modelling Percutaneous Absorption -- “Squiggly lines and random dots â€{u0E6F}u can fit anything with a non-linear modelâ€{u0B6D} Finite-dose models of transient exposures and volatile formulation components -- “The Devil Is in the Detail â€3 -- Conclusions and Recommendations for Model Development and Use.
Abstract: This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud QP88.5 M677 2015 EB (Browse shelf(Opens below)) .i11571263 Acceso electrónico eBOOK .i11571263
Total holds: 0

Skin Structure and Physiology -- Methods for the Measurement of Percutaneous Absorption -- Mathematical Treatments and Early Models of Skin Permeability -- “Building error upon errorâ€{uA814}he New Breadth of Research in the Field -- Algorithms for Estimating Permeability Across Artificial Membranes -- Other Approaches to Modelling Percutaneous Absorption -- “Squiggly lines and random dots â€{u0E6F}u can fit anything with a non-linear modelâ€{u0B6D} Finite-dose models of transient exposures and volatile formulation components -- “The Devil Is in the Detail â€3 -- Conclusions and Recommendations for Model Development and Use.

This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.

There are no comments on this title.

to post a comment.
Share