DIAdvisor

The DIAdvisor is a large scale- integrating project (IP) aiming at development of a prediction based tool which uses past and easily available information to optimise the therapy of type I and developed type II diabetes.

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)


Related news article:

Most Popular Now

MRI Predict Intelligence Levels in Child…

A group of researchers from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) took 4th place in the international MRI-based adolescent intelligence prediction competition. For the first...

Finally, Machine Learning Interprets Gen…

In this age of "big data," artificial intelligence (AI) has become a valuable ally for scientists. Machine learning algorithms, for instance, are helping biologists make sense of the dizzying number...

Artificial Intelligence (AI) can Detect …

A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has...

VTT Makes New Investments in Digital Hea…

VTT is launching new research activities in the area of digital health as part of the growing wellbeing and health technology ecosystem in Kuopio. The new initiative aims to create...

Bayer and Exscientia Collaborate to Leve…

Bayer and Exscientia Ltd., a UK-based Artificial Intelligence (AI)-driven drug discovery company, have entered into a three-year, multi-target collaboration. The partners will work on early research projects combining Exscientia's proprietary...

Philips Expands its Range of Consumer-Fo…

At CES 2020, Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced its expansion of personalized consumer health solutions that help shape the industry of...

Smartphone Cameras can Speed Up Urinary …

Biological Engineers at the University of Bath have developed a test that could help medics quickly diagnose urinary tract infections (UTIs), using a normal smartphone camera. Similar in principle to...

Edible 'Security Tag' to Protect Drugs f…

Manufacturing prescription drugs with distinct markings, colors, shapes or packaging isn't enough to protect them from counterfeiting, U.S. Drug Enforcement Administration reports have shown. Purdue University researchers are aiming to...

Bolton NHS Foundation Trust Goes Live wi…

Bolton NHS Foundation Trust is now live with Sunrise™ Acute Care, following one of the most extensive initial deployments for the Allscripts electronic patient record in the UK. The trust went...

A Better Testing Method for Patients wit…

Parkinson's disease is a neurodegenerative disorder that manifests through symptoms such as tremor, slow movements, limb rigidity and gait and balance problems. As such, nearly all diagnostic testing revolves around...

Siemens Healthineers Celebrates 125 Year…

Today it's commonplace, but at the time it was a medical-technical revolution - the discovery of X-rays by Wilhelm Conrad Röntgen 125 years ago in Würzburg. His discovery on November...