Skip to main content

Research Repository

Advanced Search

Alzheimer's Disease (AD) Detect & Prevent -presymptomatic AD detection and prevention

Dong, Mia; Husain, Masud; Brooks, David; Wilson, Max; Craven, Michael; Destrebecq, Fr�d�ric; Georges, Jean; Aps, Brain+; Baden-Kristensen, Kim

Alzheimer's Disease (AD) Detect & Prevent -presymptomatic AD detection and prevention Thumbnail


Authors

Mia Dong

Masud Husain

David Brooks

Fr�d�ric Destrebecq

Jean Georges

Brain+ Aps

Kim Baden-Kristensen



Contributors

Kristina Niedderrer
Editor

Geke Ludden
Editor

Rebecca Cain
Editor

Christian W�lfel
Editor

Abstract

Alzheimer's disease (AD) is a major cause of the rapidly growing and crushing aging challenge that threatens to economically undermine today's healthcare system. AD prevalence will grow to over 100 million cases in 2050. AD is incurable but can be prevented. Therefore, the most viable solution may be to detect very early signs of AD (presymptomatically) in citizens-at-risk and to intervene in time to reduce AD risk or prevent it entirely. The present project will refine and validate two breakthrough innovations for AD detection and AD prevention and commercialize them as a one-stop digital medical device, named 'AD Detect & Prevent'. The first innovation is a highly sensitive cognitive assessment method recently pioneered by a group of researchers that has been shown to detect subtle presymptomatic stage cognitive decline specific to AD. This will be integrated with the second innovation-a digital AD prevention programme delivered on an award-winning computerized cognitive training and rehabilitation platform (app + web) that uses high intensity immersive and adaptive 'neurogames' and audio-based therapy for behavioural intervention, designed for strengthening core cognitive functions, building cognitive reserve, changing lifestyle and thus reducing the overall AD risk in individuals. The detection and prevention methods will undergo vigorous scientific validation, and the ambition is to create and become the global standard of care for precise presymptomatic detection of AD and effective AD prevention.

Citation

Dong, M., Husain, M., Brooks, D., Wilson, M., Craven, M., Destrebecq, F., …Baden-Kristensen, K. (2019). Alzheimer's Disease (AD) Detect & Prevent -presymptomatic AD detection and prevention. In K. Niedderrer, G. Ludden, R. Cain, & C. Wölfel (Eds.), International MinD Conference 2019 - Designing with and for People with Dementia: Well-being, Empowerment and Happiness (151-154)

Conference Name International MinD Conference 2019 - Designing with and for People with Dementia: Well-being, Empowerment and Happiness
Conference Location Dresden, Germany
Start Date Sep 19, 2019
End Date Sep 20, 2019
Acceptance Date Jul 3, 2019
Publication Date 2019
Deposit Date Oct 15, 2019
Publicly Available Date Oct 15, 2019
Pages 151-154
Book Title International MinD Conference 2019 - Designing with and for People with Dementia: Well-being, Empowerment and Happiness
ISBN 9783959081832
Keywords Alzheimer's disease; presymptomatic; detection; prevention
Public URL https://nottingham-repository.worktribe.com/output/2837778
Related Public URLs https://www.designresearchsociety.org/events/international-mind-conference-2019-designing-with-and-for-people-with-dementia-tu-dresden-germany-1

Files




You might also like



Downloadable Citations