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Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions

Objective

Ageing population is steeply increasing worldwide. A consequence of age related decline is the clinical condition of frailty.
Frailty is a biological syndrome of decreased reserve and resistance to stressors, resulting from cumulative declines across multiple physiologic systems and causing vulnerability to adverse outcomes. Susceptibility to stressors is influenced by biological, behavioral, environmental, and social risk factors, with the main consequence being an increased risk for multiple adverse health outcomes, including disability, morbidity, falls, hospitalization, institutionalization, and death. However, frailty is a dynamic and not an irreversible process; it seems preventable, may be delayed, or reversed. Our understanding of frailty has markedly improved over the last five years, yet there are many issues yet to be resolved.
FrailSafe aims to better understand frailty and its relation to co-morbidities; to identify quantitative and qualitative measures of frailty through advanced data mining approaches on multiparametric data and use them to predict short and long-term outcome and risk of frailty; to develop real life sensing (physical, cognitive, psychological, social) and intervention (guidelines, real-time feedback, AR serious games) platform offering physiological reserve and external challenges; to provide a digital patient model of frailty sensitive to several dynamic parameters, including physiological, behavioural and contextual; this model being the key for developing and testing pharmaceutical and non-pharmaceutical interventions; to create “prevent-frailty” evidence-based recommendations for the elderly; to strengthen the motor, cognitive, and other “anti-frailty” activities through the delivery of personalised treatment programmes, monitoring alerts, guidance and education; and to achieve all with a safe, unobtrusive and acceptable system for the ageing population while reducing the cost of health care systems.

Call for proposal

H2020-PHC-2015-single-stage
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

PANEPISTIMIO PATRON
Address
University Campus Rio Patras
265 04 Rio Patras
Greece
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 831 000

Participants (8)

BRAINSTORM MULTIMEDIA SL
Spain
EU contribution
€ 321 250
Address
Calle Maestro Gozalbo 23 Planta 1 Puerta 3
46005 Valencia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SMARTEX SRL
Italy
EU contribution
€ 534 422,62
Address
Via Della Croce Rossa 82
59100 Prato
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
AGE PLATFORM EUROPE
Belgium
EU contribution
€ 175 902,50
Address
Avenue De Tervuren 168
1150 Bruxelles
Activity type
Other
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece
EU contribution
€ 535 000
Address
Charilaou Thermi Road 6 Km
57001 Thermi Thessaloniki
Activity type
Research Organisations
AGECARE (CYPRUS) LTD
Cyprus
EU contribution
€ 252 500
Address
41 Athalassis Str
2221 Nicosia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GRUPPO SIGLA SRL
Italy
EU contribution
€ 589 125
Address
Via C Finocchiaro Aprile 31/5A
16129 Genova
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
HYPERTECH (CHAIPERTEK) ANONYMOS VIOMICHANIKI EMPORIKI ETAIREIA PLIROFORIKIS KAI NEON TECHNOLOGION
Greece
EU contribution
€ 220 000
Address
32 Perikleous Street
15232 Chalandri Athina
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
France
EU contribution
€ 361 696,13
Address
Rue De Tolbiac 101
75654 Paris
Activity type
Research Organisations