INNOVATION
RADAR-base: The open source platform for remote assessment using wearable devices and mobile applications
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Market Maturity: Tech Ready
These are innovations that are progressing on technology development process (e.g. pilots, prototypes, demonstration). Learn more
Market Creation Potential
This innovation was assessed by the JRC’s Market Creation Potential indicator framework as addressing the needs of existing markets and existing customers. Learn more
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
  • Prepare for Market entry
  • Scale-up market opportunities
Location of Key Innovators developing this innovation
Key Innovators
THE HYVE BV
UTRECHT, NL
Small or Medium Enterprise
KING'S COLLEGE LONDON
LONDON, UK
Higher Education Institute / Research Centre
UN Sustainable Development Goals(SDG)
This innovation contributes to the following SDG(s)
SUSTAINABLE DEVELOPMENT GOAL 9
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

The UN explains: "Investments in infrastructure – transport, irrigation, energy and information and communication technology – are crucial to achieving sustainable development and empowering communities in many countries. It has long been recognized that growth in productivity and incomes, and improvements in health and education outcomes require investment in infrastructure."

The EU-funded Research Project
This innovation was developed under the Horizon 2020 project RADAR-AD with an end date of 30/06/2022
Description of Project RADAR-AD
There is an urgent need for novel approaches assessing functional decline in early AD. The main goal of the RADAR-AD project is to develop a digital platform to detect subtle functional deficits in early Alzheimer’s disease (AD) individuals by integrating a meaningful combination of smartphone, wearable and/or home sensor based parameters. The system developed will be suitable for future longitudinal studies, including trials. The objectives are to 1) Identify the most relevant functional domains and the most promising remote measurement tools (RMTs) for these domains based on reviewing the literature and piloting of RMTs in small studies; 2) Optimise the RADAR-CNS platform for use in AD studies; 3) Test the platform and selected RMTs in a real world environment clinical study with 240 participants across the AD spectrum ranging from the preclinical AD to the dementia stage; 4) Perform statistical modelling to estimate longitudinal predictions; 5) Discuss results with regulatory agencies in order to obtain guidance about how to develop a path for formal qualification as outcome measurements in future therapeutic interventions. Considering the limited budget and project duration, we will rely upon already available technology platforms and on available longitudinal datasets where possible. The consortium includes experts in clinical dementia studies, computer science, bioinformatics, regulatory policies, ethics, and patient and public involvement (PPI). Additional strengths of the consortium are the deep and broad interface with RADAR-CNS and related IMI projects, and the access to large amount of patient-level data from key European cohort studies for modelling purposes.

Innnovation Radar's analysis of this innovation is based on data collected on 21/01/2021.