SciTransfer
AD-RIDDLE · Project

Early Alzheimer's Detection Toolkit Using Blood Tests and Digital Cognitive Screening

healthTestedTRL 5

Imagine a smoke detector for the brain that catches a fire before it spreads. Instead of waiting for severe memory loss, this system uses simple blood tests and app-based brain games to spot warning signs early. It then suggests a personalized plan to lower the risk of dementia through lifestyle changes.

By the numbers
67 million
People at risk for AD dementia in Europe
40%
Prevention potential of multidomain interventions
55 million
People worldwide affected by AD
1.3 trillion
Global costs of AD in USD
The business problem

What needed solving

Current Alzheimer's detection happens too late, and existing diagnostic methods are often too expensive or invasive for mass screening. This leads to missed opportunities for prevention and high costs for healthcare systems.

The solution

What was built

A modular toolbox containing a digital engagement platform, blood-based biomarker protocols, and digital cognitive assessment tools.

Audience

Who needs this

Clinical diagnostic laboratoriesDigital health app developersPharmaceutical companies focusing on ADPublic health agenciesPrivate elderly care providers
Business applications

Who can put this to work

Diagnostics
enterprise
Target: Blood testing laboratory

If you are a lab provider dealing with the high cost of traditional dementia imaging — this project developed blood-based biomarkers (BBMs) that provide a more cost-effective way to screen for Alzheimer's risk.

Digital Health
SME
Target: Health-tech app developer

If you are a software company dealing with a lack of clinically validated screening tools — this project developed digital cognitive assessments (DCAs) that can be deployed across diverse patient populations.

Pharmaceuticals
enterprise
Target: Drug developer for neurodegenerative diseases

If you are a pharma company dealing with the difficulty of finding the right patients for clinical trials — this project developed algorithms to identify people who can benefit from specific preventive therapies.

Frequently asked

Quick answers

What is the cost of implementing these tools?

Based on available project data, the specific price per test is not listed, but the project aims to provide 'cost-effective' testing compared to current methods.

Can this be scaled to other types of dementia?

Yes, the project objective explicitly states that the modular design is intended for scalability to other dementias.

How is the intellectual property or licensing handled?

Based on available project data, specific licensing terms are not provided, though the project involves 10 industry partners who may hold related IP.

How does this integrate into existing healthcare systems?

The project uses a modular toolbox platform designed for broad uptake across different healthcare settings and practitioners.

What is the timeline for market availability?

The project runs from 2024-01-01 to 2028-12-31, suggesting that full validation and real-world testing will conclude by the end of 2028.

Consortium

Who built it

The consortium is heavily geared toward commercialization, with a 36% industry ratio comprising 10 companies, including 5 SMEs. With 28 partners across 12 countries, the project has a strong international footprint and a balanced mix of 8 universities and 5 research institutes to ensure scientific validity alongside market viability.

How to reach the team

Contact Region Stockholm in Sweden for partnership inquiries.

Next steps

Talk to the team behind this work.

Contact us to find a partner for the large-scale testing phase of AD-RIDDLE.

More in Health & Biomedical
See all Health & Biomedical projects