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Early Detection in Alzheimers Disease: Biological and Technological Advances

Chan, Dennis
Early Detection in Alzheimers Disease: Biological and Technological Advances Cover Image
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Book Information
Edition: 1st
Publisher: Academic Press, Incorporated
ISBN: 0-12-822240-9 (0128222409)
ISBN-13: 978-0-12-822240-9 (9780128222409)
Binding: Softcover
Copyright: 2022
Weight: 0.00 Lbs.
Pages: 300
Subject Class: NEU (Neurology and Neuroscience)
Remarks:
This Title is Not Yet Published, Scheduled to Release 09/01/24
Return Policy: Returns accepted up to 90 days provided no other recalls or return restrictions apply.
 
Class Specifications
Abstract: Early Detection of Alzheimer's Disease 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 (eg 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. Outlines the importance of early diagnosis of Alzheimer's DiseaseHelps readers understand the limitations of current clinical approaches and the need for a paradigmatic shift in diagnostic practiceDiscusses the potential role of technology in clinical practice using machine learning and artificial intelligence and the potential to personize diagnosis and treatment

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