Four public-private projects on big data and health have been awarded grants

24 Jun 2019 - 3 min

The Top Sector Life Sciences & Health, NWO, ZonMW, the Heart Foundation and the Ministry of Health, Welfare and Sport have jointly made a total of €6.58 million available for these projects. The Netherlands eScience Center is also providing each project with support in the form of eScience Research Engineers.

Approved public-private research projects

Perfect Fit: Targeting key risk factors for cardiovascular disease in at-risk individuals using a personalized and adaptive approach
Smoking and lack of exercise increase the risk of cardiovascular disease. A consortium led by Prof. N.H. Chavannes (Leiden University Medical Center) will use big data to develop a personalized and flexible virtual coach that will help people to quit smoking.

Partners: TU Delft, University of Twente, Trimbos Institute, Leiden University, m, Sense Health, Virtuagym, Roessingh Research & Development, Stichting Pharos, Stichting Publiek Privaat Partnership Stop met Roken, GlaxoSmithKline and Stichting Zorg & Zekerheid.

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CARRIER – Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection

– a Personal Health Train project
A consortium led by Prof. A.L.A.J. Dekker (Maastricht University) aims to identify groups with a high risk of cardiovascular diseases using existing datasets obtained from Statistics Netherlands, hospitals and general practitioners. The research group is also developing an electronic lifestyle coach to encourage people in this high-risk group to stay with their therapy programmes. Patients and caregivers will use the coach to develop a personalized lifestyle plan.

Partners: Maastricht University, Maastricht UMC+, Sananet Care BV, CBS, MAASTRO Clinic, HuisartsenOZL and Huis van de Zorg.

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MyDigiTwin: Using Big-Data to put a cardiovascular digital twin into the hands of people
A consortium led by Prof. P. van der Harst (University of Groningen) will use MyDigiTwin to identify ‘personal digital twins’ using artificial intelligence algorithms. MyDigiTwin can predict the effects of lifestyle changes on the health of individuals. By comparing themselves with their digital twins, individuals can be made aware of the risk of cardiovascular disease and act accordingly.

Partners: UMC Groningen, UMC Utrecht, University of Twente, Erasmus MC, Siemens Healthineers Nederland N.V., HartKlinieken, Drimpy, Harteraad, HartNet Noord-Nederland, Huisartsenpraktijk Waardenburg, Mijnhuisarts BV, Hartstichting, NL Heart Registration, Heartlife Klinieken, Niped, Gezondheidsplein Middelstum, NL Healthcare Institute, The Story Network, RTRN, Menzis, Novartis Pharma B.V., Bayer B.V. and Sanofi-Aventis NL B.V.

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STRAP: Self TRAcking for Prevention and diagnosis of heart disease
A consortium led by Prof. P. Markopoulos (Eindhoven University of Technology) is investigating opportunities, restrictions and successful case studies in the care of heart patients. The research group will examine how vulnerable groups and healthcare personnel can be involved in, and become more committed to, the care process. The research group will develop a platform where patients can enter healthcare data themselves based on questionnaires and digital sensors.

Partners: Eindhoven University of Technology, Erasmus MC, TU Delft, Cardiron BV, MyoVista, Sostark SME, Reinier de Graaf Gasthuis, Stethee, BOBO Tech, Game Solutions Lab SME, Smart Toilets and WCN.

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More information on Big Data & Health

Source: NWO