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Individualized Medicine

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Cover of 'Individualized Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Meaning of “Individualized Medicine”: A Terminological Adjustment of a Perplexing Term
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    Chapter 3 Individualized Medicine Within the GANI_MED Project
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    Chapter 4 Inventing Traditions, Raising Expectations. Recent Debates on “Personalized Medicine”
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    Chapter 5 The Epistemics of “Personalized Medicine”. Rebranding Pharmacogenetics
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    Chapter 6 Use of Biomarkers for the Prediction of Treatment Response: Immunoadsorption in Dilated Cardiomyopathy as a Clinical Example
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    Chapter 7 The Role of Pharmacogenomics in Individualized Medicine
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    Chapter 8 On a Philosophy of Individualized Medicine: Conceptual and Ethical Questions
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    Chapter 9 The Concept of Disease in the Era of Prediction
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    Chapter 10 Informed Consent in GANI_MED—A Sectional Design for Clinical Epidemiological Studies Within Individualized Medicine
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    Chapter 11 Ethics Meets IT: Aspects and Elements of Computer-based Informed Consent Processing
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    Chapter 12 Handling Incidental Findings from Imaging Within IM Related Research—Results from an Empirical-Ethical Study
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    Chapter 13 Individualized Medicine: From Potential to Macro-Innovation
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    Chapter 14 Assessing Individualized Medicine—The Example of Immunoadsorption
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    Chapter 15 How Individualized is Medicine Today?
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    Chapter 16 Conclusions and Recommendations
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1 Wikipedia page

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6 Mendeley
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Title
Individualized Medicine
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-11719-5
ISBNs
978-3-31-911718-8, 978-3-31-911719-5
Editors

Fischer, Tobias, Langanke, Martin, Marschall, Paul, Michl, Susanne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 50%
Lecturer 1 17%
Student > Postgraduate 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Agricultural and Biological Sciences 2 33%
Medicine and Dentistry 2 33%
Engineering 1 17%