European Companies Search Engine
EU funding (€5,999,889): LETHE (λήθη) – A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine … Hor9 Dec 2020 EU Research and Innovation programme "Horizon"
Overview
Text
LETHE (λήθη) – A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine Learning
As the world's population increases in age, the number of people living with dementia grows. Dementia has long been considered to be neither preventable nor treatable, but while the underlying illnesses are not curable, today we know that the disease course might be modifiable with good preventive interventions at an early time point. The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) showed a positive effect after a 2-year intervention targeting several lifestyles and vascular risk factors simultaneously. LETHE will go beyond and provide a data-driven risk factor prediction model for older individuals at risk of cognitive decline building upon big data analysis of cross-sectional observational and longitudinal intervention datasets from 4 clinical centers in Europe including the 11- years analysis of FINGER. LETHE will establish novel digital biomarkers, for early detection of risk factors, based on unobtrusive ICT-based passive and active monitoring. The aim is to establish a digital-enabled intervention for cognitive decline prevention based on the evolution of a successful protocol (FINGER) evolving into an ICT based preventive lifestyle intervention through individualized profiling, personalized recommendations, feedback and support (FINGER 2.0), well targeted on a population stratified by cost-effective biological biomarkers. The LETHE solution will be tested in a feasibility study validating the achieved improvements. A successful LETHE project could lead to a more personalized risk factor prevention for persons with beginning cognitive decline, thereby empowering people to an active and healthy lifestyle. Expansions of prevention trials on large scale by an automatized roll out of a multimodal intervention approach, reaching out to large populations, could save future costs on expensive traditional interventions and confer benefits for the wider society.
Funded Companies:
| Company name | Funding amount |
| Alzheimer Europe | €222,500 |
| COMBINOSTICS Oy | €387,580 |
| Extra RED Srl | €305,875 |
| FH Joanneum GmbH | €642,000 |
| €288,706 | |
| €495,000 | |
| Infotrend Innovations Company Ltd. | €328,750 |
| KAASA SOLUTION GmbH | €347,500 |
| Karolinska Institutet | €481,262 |
| Medizinische Universitaet Wien | €502,318 |
| €339,500 | |
| €750,625 | |
| THE Lisbon Council for Economic Competitiveness ASBL | €212,500 |
| €408,750 | |
| Universiteit Maastricht | €287,023 |
Source: https://cordis.europa.eu/project/id/101017405
The filing refers to a past date, and does not necessarily reflect the current state.
The visualizations for "Alzheimer Europe - EU funding (€5,999,889): LETHE (λήθη) – A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine Learning"
are provided by
North Data
and may be reused under the terms of the
Creative Commons CC-BY license.
