Population ageing

OPLON “Opportunities for active and healty longevity”
Proposed by: MR&D S.p.A.; Polytechnic of Turin; INRCA; Coopera-tiva EDP La Traccia; University of Bari “Aldo Moro”; Santer Reply SpA; Noemalife S.p.A.; Tecnoikos s.r.l.; CNR; CUP 2000 S.p.A.; Alma Mater Studiorum – University of Bologna; Telbios S.p.A.; Anastasis Soc. Coop.

OPLON proposes “evidence based” actions and methods aimed at preventing frailty and functional decline and promoting the health of the elderly, planning and developing early diagnosis and “care and cure” tools and networks. The solutions will be mainly for the elderly who are in the “risk zone”, who are starting to experience limitations in their day-to-day life and are at risk of frailty (pre-frail). The project will develop monitoring systems and models to prevent and manage frailty, and to promote health in the pre-frail and frail elderly. OPLON will develop an “open” tech platform to access information (i.e. Open Data), “integrated” as opposed to the existing systems (i.e. IEEE, HL7, IHE, etc.) and with “distributed” methods (i.e. Cloud Services).

SMART AGING “Personal mobile services platform for data acquisition and processing for prolongation of active life, wellness, disease prevention and care in aging population everywhere
Proposed by: Domedica Srl; Emaze Networks S.p.A.; University of Brescia; Calearo Antenne Spa; MIXEL S.C.AR.L.; University of Bergamo; Dedalus Spa; S.A.L.F. Spa; Laboratorio Farmacologico; Insiel; Mercato SpA; Esaote S.p.A.; Me.Te.Da S.r.l; Connexxalife S.r.l.; STMicroelectronics s.r.l.; Euroclone Spa; CNR- ITB; Orobix Srl; Baxter s.p.a.; Technogym Spa; Tenacta Group S.p.A.

The aim of the project is to develop ICT systems for generation and processing of information to improve the health status of the elderly population, assist and increase the level of autonomy. To obtain these results we propose to develop and test a system of personal data collection (EPD), interface it with a series of acquired data (sensors) and provide it with intelligent algorithms for data processing and generation of output useful for the guidance and more efficient treatment of chronic diseases that often affect the elderly population, as well as to promote and guide the recruitment of healthy lifestyles consistent with the health state.