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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Immunology
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Tissue Phenomics: Profiling Cancer Patients for Treatment Decisions - Profiling Cancer Patients for Treatment Decisions (Hardcover)
Loot Price: R4,294
Discovery Miles 42 940
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Tissue Phenomics: Profiling Cancer Patients for Treatment Decisions - Profiling Cancer Patients for Treatment Decisions (Hardcover)
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In the age of digitization our society is transformed into a new
state. In particular, machine intelligence dramatically elevates
our capability to create and digest information. Naturally,
healthcare is also impacted by this trend and will even be more
transformed into a informatic driven discipline in the future. In
the most important area of histo-pathology, the interpretation of
tissue slices from cancer patients, informatics will have an early
and huge impact on treatment decisions and probably will act as the
leading discipline for this transformation in medicine. Tissue
Phenomics provides a comprehensive methodology aiming at the
discovery of the most accurate tissue-based decision support
algorithm by close integration of assay development, image analysis
and bioinformatics, and optimization feedback loops. In this book
the methodology of Tissue Phenomics and its benefits and wealth's
are described. The different components of Tissue Phenomics are
explained in the different chapters. In the chapters 2 to 4 of this
book different authors describe various approaches on how to
convert the wealth of tissue slide pixel data into mineable
information using knowledge-based and data-driven image analysis
methods. Subsequently, the datafication of images and the
bioinformatics part plays a crucial role in generating prognostic
and predictive models for disease progression. The integration of
other data sources such as genomics, radiomics and patient related
information is also important and is described as well. As
discussed in chapters 5 and 6, these models may classify patients
in distinct groups such as those responding to a given therapy.
Since Tissue Phenomics provides a huge set of potentially
prognostic features (phenes), one focus of both chapters is robust
feature selection methods by advanced Monte-Carlo cross validation
algorithms. In chapter 7 we discuss multiple application examples
of Tissue Phenomics in academic and commercial settings and its
tremendous impact to advances in biomedical sciences. Building on
the successes in research, chapters 8 and 9 discuss applications in
clinical environments and provide a flavor to the future envision
in chapter 10, where tissue datafication and subsequent patient
profiling is part of every routine examination, with the goal to
best match patients with the most successful therapy, as predicted
by tissue phenes.
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