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Books > Science & Mathematics > Biology, life sciences > General
Exam Board: Salters Nuffield Level: A level Subject: Science /
Biology First teaching: September 2015 First exams: June 2017
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This comprehensively revised second edition of "Computational
Systems Biology" discusses the experimental and theoretical
foundations of the function of biological systems at the molecular,
cellular or organismal level over temporal and spatial scales, as
systems biology advances to provide clinical solutions to complex
medical problems. In particular the work focuses on the engineering
of biological systems and network modeling.
Logical information flow aids understanding of basic building
blocks of life through disease phenotypesEvolved principles gives
insight into underlying organizational principles of biological
organizations, and systems processes, governing functions such as
adaptation or response patternsCoverage of technical tools and
systems helps researchers to understand and resolve specific
systems biology problems using advanced computationMulti-scale
modeling on disparate scales aids researchers understanding of
dependencies and constraints of spatio-temporal relationships
fundamental to biological organization and function.
Pulmonary hypertension is a life-threatening disease with no known
cure. Here we provide a concise yet comprehensive review of the
current knowledge about the pathophysiology of pulmonary
hypertension (PH). The underlying signaling mechanisms involved in
pulmonary vascular remodeling and the exaggerated vascular
contractility, two characteristic features of pulmonary
hypertension, are discussed in depth. The roles of inflammation,
immunity, and right ventricular function in the pathobiology of
pulmonary hypertension are discussed. The epidemiology of the five
groups of pulmonary hypertension (World Health Organization
classification; Nice, 2013) is also briefly described. A clear
understanding of our current knowledge about the pathogenesis of PH
is essential for further exploration of the underlying mechanisms
involved in this disease and for the development of new therapeutic
modalities. This book should be of interest to researchers and
graduate students, both in basic research and in clinical settings,
in the fields of pulmonary vascular biology and pulmonary
hypertension.
"Mathematical Models for Society and Biology," 2e, is a useful
resource for researchers, graduate students, and post-docs in the
applied mathematics and life science fields. Mathematical modeling
is one of the major subfields of mathematical biology. A
mathematical model may be used to help explain a system, to study
the effects of different components, and to make predictions about
behavior.
"Mathematical Models for Society and Biology," 2e, draws on
current issues to engagingly relate how to use mathematics to gain
insight into problems in biology and contemporary society. For this
new edition, author Edward Beltrami uses mathematical models that
are simple, transparent, and verifiable. Also new to this edition
is an introduction to mathematical notions that every quantitative
scientist in the biological and social sciences should know.
Additionally, each chapter now includes a detailed discussion on
how to formulate a reasonable model to gain insight into the
specific question that has been introduced.
Offers 40% more content - 5 new chapters in addition to revisions
to existing chapters Accessible for quick self study as well as a
resource for courses in molecular biology, biochemistry, embryology
and cell biology, medicine, ecology and evolution, bio-mathematics,
and applied math in general Features expanded appendices with an
extensive list of references, solutions to selected exercises in
the book, and further discussion of various mathematical methods
introduced in the book
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