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Einband grossEarly Detection in Alzheimer's Disease
ISBN/GTIN

Early Detection in Alzheimer's Disease

Biological and Technological Advances
von
Chan, DennisHrsg.
TaschenbuchKartoniert, Paperback
300 Seiten
Englisch
Early Detection of Alzheimer's Disease: Biological and Technological Advances aims to introduce to a wide audience the high global priority problem of detecting AD prior to dementia onset. According to the Alzheimer's Association, 5.8 million Americans are living with Alzheimer's and care costs will cost the nation approximately $290 billion (2019 Alzheimer's Disease Facts and Figures). With the failure of recent AD drug trials, many hypothesize that by the time symptoms appear, it is too late to be treated. Early detection can offer benefits such as more choice of medications, ability to participate in clinical trials, more time for family and for care planning. This book outlines potential solutions to the above problem using opportunities arising from the technology revolution, advances in neuroscience, and molecular biology. Most importantly, it discusses a paradigm shift from a reactive to a proactive diagnostic approach, aiming to detect disease before occurrence of symptoms. Topics covered include the use of sensing technologies (e.g. smartphones, smartwatches, Internet of Things) to detect early disease-related changes, the application of data science (machine learning/AI) to extract otherwise invisible disease features from these datasets and the potential to personalize diagnosis based on tracking changes in individual behaviours. Advances in blood-based biomarkers, brain imaging, and the potential for early diagnosis to aid interventions (lifestyle, dietary, pharmacological) to delay future development of dementia are also discussed.mehr

Produkt

KlappentextEarly Detection of Alzheimer's Disease: Biological and Technological Advances aims to introduce to a wide audience the high global priority problem of detecting AD prior to dementia onset. According to the Alzheimer's Association, 5.8 million Americans are living with Alzheimer's and care costs will cost the nation approximately $290 billion (2019 Alzheimer's Disease Facts and Figures). With the failure of recent AD drug trials, many hypothesize that by the time symptoms appear, it is too late to be treated. Early detection can offer benefits such as more choice of medications, ability to participate in clinical trials, more time for family and for care planning. This book outlines potential solutions to the above problem using opportunities arising from the technology revolution, advances in neuroscience, and molecular biology. Most importantly, it discusses a paradigm shift from a reactive to a proactive diagnostic approach, aiming to detect disease before occurrence of symptoms. Topics covered include the use of sensing technologies (e.g. smartphones, smartwatches, Internet of Things) to detect early disease-related changes, the application of data science (machine learning/AI) to extract otherwise invisible disease features from these datasets and the potential to personalize diagnosis based on tracking changes in individual behaviours. Advances in blood-based biomarkers, brain imaging, and the potential for early diagnosis to aid interventions (lifestyle, dietary, pharmacological) to delay future development of dementia are also discussed.
Details
ISBN/GTIN978-0-12-822240-9
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2024
Erscheinungsdatum01.12.2024
Seiten300 Seiten
SpracheEnglisch
MasseBreite 152 mm, Höhe 229 mm
Artikel-Nr.57992755
Rubriken
GenreMedizin

Inhalt/Kritik

Inhaltsverzeichnis
1. Foreword
2. Introduction
3. Early Alzheimer's disease
4. The need for early diagnosis
5. An overview of current diagnostic strategies
6. Novel approaches to diagnosis
7. Challenges for the new approach
8. An eye to the futuremehr