A Major Digital Innovation Improves Parkinson’s Detection

We met iPrognosis in early 2018, and previously posted about their efforts – Big Data Advancing Parkinson’s Research

They recently sent us an update.

The significant technological advances of recent years in artificial intelligence are beginning to bear fruit in the medical field. Several leading European universities of technology and hospitals have joined forces to carry out a digital revolution in the early detection of Parkinson’s disease.

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The iPrognosis mobile application (free on Google Play Store) allows a detailed and long-term follow-up of the user’s characteristics. The algorithm developed and trained as part of the research project will be able to detect early signs of the disease and alert health professionals in order to diagnose the disease well in advance of what we are able to do today as part of traditional medical consultations.

The project offers promising advances for persons facing Parkinson’s in the future who will be managed earlier, but also for the sustainability of our health systems through more rapid diagnosis and quick implementation of first actions in early stages of the disease.

OBJECTIVES

The main objectives of the project are:

  • Build early detection tests for Parkinson’s disease based on users’ interaction with everyday technology.
  • Design interventions to sustain the quality of patients‘ life over the course of Parkinson’s disease.
  • Raise social awareness of Parkinson’s disease early detection

EU CONSORTIUM

  • Aristotle University of Thessaloniki,
  • GR (Coordinator) Center of Research and Technology Hellas,
  • GR Microsoft Innovation Center Greece,
  • GR COSMOTE Mobile Telecommunications S.A.,
  • GR AGE Platform Europe,
  • BE Technische Universitat Dresden,
  • DE Fraunhofer,
  • DE Faculdade de Motricidade Humana,
  • Universidade de Lisboa,
  • PT PLUX – Wireless Biosignals S.A.,
  • PT Karolinska Institutet,
  • SE King’s College London, King’s College Hospital,

UK FUNDING This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 690494.

A Major Digital Innovation Improves Parkinson’s Detection

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