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This volume presents several machine intelligence technologies,
developed over recent decades, and illustrates how they can be
combined in application. One application, the detection of dementia
from patterns in speech, is used throughout to illustrate these
combinations. This application is a classic stationary pattern
detection task, so readers may easily see how these combinations
can be applied to other similar tasks. The expositions of the
methods are supported by the basic theory they rest upon, and their
application is clearly illustrated. The book's goal is to allow
readers to select one or more of these methods to quickly apply to
their own tasks. Includes a variety of machine intelligent
technologies and illustrates how they can work together Shows
evolutionary feature subset selection combined with support vector
machines and multiple classifiers combined Includes a running case
study on intelligent processing relating to Alzheimer's / dementia
detection, in addition to several applications of the machine
hybrid algorithms
While the potential of stem cells is recognized, their
proliferation and differentiation must be more precisely controlled
to maximize the production of therapeutically relevant cells and
for cell replacement therapies to minimize contamination with
residual cells that can give rise to side effects. How can
engineers make contributions to address these challenges? With
contributions from pioneers and experts, Stem Cell Engineering:
Principles and Practices highlights recent advances in the
understanding of the cellular and molecular composition of the stem
cell niche, as well as approaches to build upon this basic
information to direct stem cell differentiation into
therapeutically valuable lineages. The growing recognition of stem
cells as an important and exciting field will continue to draw
investigators with diverse backgrounds-from biology, engineering,
and the physical sciences-and thereby enable further progress in
these and other new directions. This book discusses advances made
during the last decade that have led to increasingly defined
culture systems for growing stem cells, starting from co-culture
with feeder cells in the presence of serum to growth on synthetic
substrates in defined medium. In addition to highlighting many
recent advances, it underscores the need for future work.
This volume presents several machine intelligence technologies,
developed over recent decades, and illustrates how they can be
combined in application. One application, the detection of dementia
from patterns in speech, is used throughout to illustrate these
combinations. This application is a classic stationary pattern
detection task, so readers may easily see how these combinations
can be applied to other similar tasks. The expositions of the
methods are supported by the basic theory they rest upon, and their
application is clearly illustrated. The book's goal is to allow
readers to select one or more of these methods to quickly apply to
their own tasks. Includes a variety of machine intelligent
technologies and illustrates how they can work together Shows
evolutionary feature subset selection combined with support vector
machines and multiple classifiers combined Includes a running case
study on intelligent processing relating to Alzheimer's / dementia
detection, in addition to several applications of the machine
hybrid algorithms
While the potential of stem cells is recognized, their
proliferation and differentiation must be more precisely controlled
to maximize the production of therapeutically relevant cells and
for cell replacement therapies to minimize contamination with
residual cells that can give rise to side effects. How can
engineers make contributions to address these challenges? With
contributions from pioneers and experts, Stem Cell Engineering:
Principles and Practices highlights recent advances in the
understanding of the cellular and molecular composition of the stem
cell niche, as well as approaches to build upon this basic
information to direct stem cell differentiation into
therapeutically valuable lineages. The growing recognition of stem
cells as an important and exciting field will continue to draw
investigators with diverse backgrounds-from biology, engineering,
and the physical sciences-and thereby enable further progress in
these and other new directions. This book discusses advances made
during the last decade that have led to increasingly defined
culture systems for growing stem cells, starting from co-culture
with feeder cells in the presence of serum to growth on synthetic
substrates in defined medium. In addition to highlighting many
recent advances, it underscores the need for future work.
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