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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.
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.
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