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Emerging Technologies for Diagnosing Alzheimer's Disease

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Cover of 'Emerging Technologies for Diagnosing Alzheimer's Disease'

Table of Contents

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    Book Overview
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    Chapter 1 Emerging Technologies for Diagnosing Alzheimer’s Disease: Innovating with Care
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    Chapter 2 The Diagnosis and Treatment of Alzheimer’s: Are We Being (Ir)responsible?
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    Chapter 3 On Short Cuts: The Complexity of Studying the Early Diagnosis and Prevention of Alzheimer’s Disease
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    Chapter 4 Biomarkers for Alzheimer’s Disease: Searching for the Missing Link Between Biology and Clinic
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    Chapter 5 Care and Responsibility in Building Futures for Alzheimer’s Disease Research
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    Chapter 6 Grey Matters: Emergent Biomarkers and Good Alzheimer’s Diagnostics
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    Chapter 7 Understanding Cognitive Screening Tools: Navigating Uncertainty in Everyday Clinical Practice
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    Chapter 8 Testing Memory, Shifting Responsibility: Internet-Based (Self-) Diagnostics of Alzheimer’s Disease
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    Chapter 9 Making Alzheimer’s Disease Matter: The Politics and Interferences of Different Practices Concerning AD
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    Chapter 10 Dikes and Dementia: How Multiple Framings of Dementia Coexist During the Development of a National Dementia Strategy
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    Chapter 11 Responsible Innovation: The Case of Alzheimer Diagnostics
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    Chapter 12 Informally Regulated Innovation Systems: Challenges for Responsible Innovation in Diagnostics
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    Chapter 13 Valuing Diagnostic Innovations: Towards Responsible Health Technology Assessment
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    Chapter 14 Diagnosing Alzheimer’s Disease: How to Innovate with Care
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Title
Emerging Technologies for Diagnosing Alzheimer's Disease
Published by
Palgrave Macmillan UK, January 2016
DOI 10.1057/978-1-137-54097-3
ISBNs
978-1-137-54096-6, 978-1-137-54097-3, 978-1-349-71241-0
Editors

Marianne Boenink, Harro van Lente, Ellen Moors

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X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 2 20%
Lecturer > Senior Lecturer 1 10%
Professor > Associate Professor 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Social Sciences 3 30%
Agricultural and Biological Sciences 2 20%
Business, Management and Accounting 1 10%
Unknown 4 40%