The DIAdvisor does not depend on specific sensor technologies and technologies like standard strip sensing, minimally invasive continuous glucose sensors and non-invasive methods.
For safety reason, the DIAdvisor system will be able to self-assess the confidence of its proposed decisions. For safety reasons as well as for the sake of therapy improvements the system connects and provides information and trends to the Health Care Provider.
Glucose prediction is difficult and requires advanced science. This can be achieved only by a well-balanced group of eminent experts including academics, clinicians, user representatives and leading companies. This includes physiological modelling, identification theory, control theory, medical device technology, risk management theory, sensor science and user understanding.
The expected impact of DIAdvisor will be improved diabetes control and quality of life in large populations of insulin treated patients, leading to fewer diabetic complications and lower Health Care costs. Moreover, the project will constitute a valuable opportunity for European companies to build up a special know-how leading products that profoundly and positively impacts the lives of millions with other indications than diabetes.
For further information, please visit:
http://www.diadvisor.eu/
Project co-ordinator:
Novo Nordisk A/S (Denmark)
Partners:
- Novo Nordisk A/S (Denmark),
- Johannes Kepler Universität Linz (Austria),
- Lunds Universitet (Sweden),
- Universita Degli Studi di Padova (Italy),
- Centre Hospitalier Regional Universitaire de Montpellier (France),
- Toumaz Technology Ltd (UK),
- Sensor Technology and Devices Ltd (UK),
- Ondalys SARL (France),
- Romsoft SRL (Romania),
- Institut Klinicke a Experimentalni Mediciny (Czech Republic),
- RICAM, Österreichische Akademie der Wissenschaften (Austria),
- Rambøll Danmark A/S (Denmark),
- Federation Internationale du Diabete Region Europe (Belgium)
Timetable: from 03/2008 to 02/2012
Total cost: 9.284.061
EC funding: 7.099.992
Programme Acronym: FP7-ICT
Subprogramme Area: Personal health systems for monitoring and point-of-care diagnostics
Contract type: Collaborative project (generic)
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