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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

Objective

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.

Field of science

  • /natural sciences/computer and information sciences/data science/data analysis
  • /natural sciences/computer and information sciences/data science/big data

Call for proposal

H2020-SC1-DTH-2020-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

FH JOANNEUM GESELLSCHAFT MBH
Address
Alte Poststrasse 149
8020 Graz
Austria
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 642 000

Participants (14)

MEDIZINISCHE UNIVERSITAET WIEN
Austria
EU contribution
€ 502 317,50
Address
Spitalgasse 23
1090 Wien
Activity type
Higher or Secondary Education Establishments
UNIVERSITA DEGLI STUDI DI PERUGIA
Italy
EU contribution
€ 408 750
Address
Piazza Dell Universita 1
06123 Perugia
Activity type
Higher or Secondary Education Establishments
KAROLINSKA INSTITUTET
Sweden
EU contribution
€ 481 262,49
Address
Nobels Vag 5
17177 Stockholm
Activity type
Higher or Secondary Education Establishments
TERVEYDEN JA HYVINVOINNIN LAITOS
Finland
EU contribution
€ 750 625
Address
Mannerheimintie 166
00271 Helsinki
Activity type
Research Organisations
ALZHEIMER EUROPE
Luxembourg
EU contribution
€ 222 500
Address
Rue Dicks 14
1417 Luxembourg
Activity type
Other
IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece
EU contribution
€ 495 000
Address
N Plastira Str 100
70013 Irakleio
Activity type
Research Organisations
UNIVERSITEIT MAASTRICHT
Netherlands
EU contribution
€ 287 022,50
Address
Minderbroedersberg 4-6
6200 MD Maastricht
Activity type
Higher or Secondary Education Establishments
KAASA SOLUTION GMBH
Germany
EU contribution
€ 347 500
Address
Flinger Strasse 11
40213 Dusseldorf
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
I2GROW: INNOVATION TO GROW SRL
Italy
EU contribution
€ 288 706,25
Address
Via Mascheroni Lorenzo 31
20145 Milano
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
STICHTING EGI
Netherlands
EU contribution
€ 339 500
Address
Science Park 140
1098 XG Amsterdam
Activity type
Other
EXTRA RED SRL
Italy
EU contribution
€ 305 875
Address
Via Salvo D'acquisto 40/P
56025 Pontedera
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INFOTREND INNOVATIONS COMPANY LIMITED
Cyprus
EU contribution
€ 328 750
Address
Demonaktos Street 13
1017 Lefkosia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
COMBINOSTICS OY
Finland
EU contribution
€ 387 580
Address
Hatanpään Valtatie 24
33100 Tampere
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
THE LISBON COUNCIL FOR ECONOMIC COMPETITIVENESS ASBL
Belgium
EU contribution
€ 212 500
Address
Rue De La Loi 155 Residence Palace Ipc
1040 Bruxelles
Activity type
Other