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

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.

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)

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BRAINSTORM MULTIMEDIA S.L.

Spain

EU Contribution

€ 321 250

SMARTEX S.R.L.

Italy

EU Contribution

€ 534 422,62

AGE PLATFORM EUROPE

Belgium

EU Contribution

€ 175 902,50

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

Greece

EU Contribution

€ 535 000

AGECARE (CYPRUS) LTD

Cyprus

EU Contribution

€ 252 500

GRUPPO SIGLA SRL

Italy

EU Contribution

€ 589 125

HYPERTECH (CHAIPERTEK) ANONYMOS VIOMICHANIKI EMPORIKI ETAIREIA PLIROFORIKIS KAI NEON TECHNOLOGION

Greece

EU Contribution

€ 220 000

INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE

France

EU Contribution

€ 361 696,13

Project information

Grant agreement ID: 690140

Status

Closed project

  • Start date

    1 January 2016

  • End date

    30 April 2019

Funded under:

H2020-EU.3.1.4.

  • Overall budget:

    € 3 820 896,25

  • EU contribution

    € 3 820 896,25

Coordinated by:

PANEPISTIMIO PATRON

Greece