"Computational Toxicology: Methods and Applications for Risk
Assessment" is an essential reference on the translation of
computational toxicology data into information that can be used for
more informed risk assessment decision-making. This book is
authored by leading international investigators who have real-world
experience in relating computational toxicology methods to risk
assessment. Key topics of interest include QSAR modeling, chemical
mixtures, applications to metabolomic and metabonomic data sets,
toxicogenomic analyses, applications to REACH informational
strategies and much more. The examples provided in this book are
based on cutting-edge technologies and set out to stimulate the
further development of this promising field to offer rapid, better
and more cost-effective answers to major public health
concerns.
Authored by leading international researchers engaged in
cutting-edge applications of computational methods for translating
complex toxicological data sets into useful risk assessment
informationIncorporates real-world examples of how computational
toxicological methods have been applied to advance the science of
risk assessment Provides the framework necessary for new
technologies and fosters common vocabularies and principles upon
which the effects of new chemical entities should be compared
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