Digital Health Europe

Alzheimer’s Disease Prediction Service (ADPS): a smartphone test to predict whether someone is likely to develop Alzheimer’s

Keywords: Alzheimer’s Disease, mHealth, Prediction
Owner
Altoida
Type
Digital solution and service (e.g. application/digital health portal/platform/AI based system/etc.)
Short description
The Alzheimer’s Disease Prediction Service (ADPS) employs an easy smartphone test to predict whether someone is likely to develop Alzheimer’s in the next six years, using data that has shown 94% accuracy. It will be one of the first validated solutions to enter the EU market as a pre-symptomatic biomarker to predict Alzheimer’s risk for people over 50. Current diagnostic measures of Alzheimer’s Disease are invasive, expensive and time-consuming, and thus have limited use as frontline screening tools. Although experts realise the potential of screening with virtual reality, augmented reality or activity tracking technologies, routine examination is only carried out after symptoms appear and brain damage is already done. Early screening enables prevention and could dramatically reduce future costs of dementia care. ADPS unites leading academic and industry partners with a focus on computational dementia diagnosis. It involves memory clinics specialsed in data on pre-symptomatic patients – in Dublin, Barcelona, Zurich, Lausanne and Amsterdam.
Maturity
The practice/case/tool is “on the market” and integrated in routine use. There is proven market impact in terms of job creation/spin-off creation or other company growth
Countries
Ireland
Netherlands
Spain
Switzerland
Geographical scope
European
Language(s)
English, German, Spanish, Dutch
Comment
1000-9999 people reached
Submitted in other database or repository of digital health resources that is publicly available
https://digitalhealtheurope.eu/catalogue/, DHE catalogue

Additional information

to patients / citizens
Personalised prevention apps
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Primary target patient group (age)
Older adults (65+)
Addressed prevention area(s)
Health screenings
Use case and care pathway positioning
Early detection and early diagnosis, precision diagnosis, Prevention and wellness