Mia Dong
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
Authors
Masud Husain
David Brooks
Dr MAX WILSON MAX.WILSON@NOTTINGHAM.AC.UK
Associate Professor
MICHAEL CRAVEN michael.craven@nottingham.ac.uk
Principal Research Fellow
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 |
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