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Intelligent Parkinson early detection guiding novel supportive interventions

i (Intelligent) – PROGNOSIS (Greek πρόγνωσις “fore-knowing, foreseeing”)

 

WHO ARE WE

Eleven partners, academic institutions and companies, from six EU countries, led by Aristotle University of Thessaloniki, Greece, have joined forces for i-PROGNOSIS in order to provide technology-based solutions against Parkinson’s, as well as raise awareness on the disease and self-health management.

 

The i-PROGNOSIS consortium has been established based upon the partners’ a priori shared and common vision of providing solutions to help people in need, including the Parkinson’s disease community.

 

Our motivation

 

In i-PROGNOSIS, we believe that by combining technology with medical expertise we can advance the way Parkinson’s disease is prognosed and treated.

Prof. Leontios Hadjileontiadis, Aristotle University of Thessaloniki – Project Coordinator

 

> Learn more about the i-PROGNOSIS Consortium

 

Parkinson’s disease Facts

A progressive disease

that is caused mainly by the loss of brain cells responsible for the production of a brain chemical, called dopamine, along with involvement of at least three other chemicals (serotonin, acetylcholine and noradrenaline).

Varying Symptoms

are experienced by patients and do not include only the common tremor and other motor symptoms. In fact, the early ones are constipation, reduced ability to smell, sleep problems, depression and pain.

No definite early detection

laboratory tests have been established for Parkinson’s. The very early symptoms (movement and not movement-related) are often missed.

No cure

has been found to reverse Parkinson’s disease. Patients usually receive medication to minimise motor symptoms and manage symptoms not related to movement.

55+ years

is usually the age of Parkinson’s disease onset. Young-onset is rarer (around 10% of cases).

> Learn more about Parkinson’s disease from the European Parkinson’s Disease Association or the Michael J. Fox Foundation for Parkinson’s Research

 

Our key objectives

Build early detection tests

for Parkinson’s disease based on users’ interaction with everyday technology.

Learn more about the i-PROGNOSIS early detection tests

Design interventions

to sustain the quality of patients‘ life over the course of Parkinson’s disease.

Learn more about the i-PROGNOSIS interventions

Empower people

to affect policies & reduce hospitalisation.

> Learn more about the detailed objectives of i-PROGNOSIS

 

How are we going to develop i-PROGNOSIS?

Source data from people

i-PROGNOSIS will employ machine learning algorithms to learn from user’s interaction data with everyday technology in order to achieve early Parkinson’s disease detection. To this end, it will need a large community of people to use its applications and provide their data, securely and with respect to privacy.

Learn more about the “Join the i-PROGNOSIS community!” campaign

Employ latest technology

From smartphones and fitness bands, to smart connected everyday utilities and serious games, i-PROGNOSIS will employ latest technology upon which it will build its Parkinson’s disease early detection tests and supportive interventions.

Learn more about the technology in i-PROGNOSIS

Medicaly evaluate every step

Based on the vast experience of i-PROGNOSIS medical partners, a series of medical evaluation protocols will be implemented to ensure the efficacy of Parkinson’s disease early detection tests and supportive interventions that will be developed.

Learn more about i-PROGNOSIS medical evaluation protocols

 

How we want i-PROGNOSIS to work after the project?

A concrete illustration with Emily, a future user

i-PROGNOSIS

 

01

Emily will install the i-PROGNOSIS application on her smartphone. Thanks to the consent given by Emily, i-PROGNOSIS will start capturing interaction data.

02

If i-PROGNOSIS detects a change in Emily’s behaviour and if her doctor validates it, a second stage will follow with her approval.

03

This second stage will allow collecting additional and more specific data thanks to smart connected everyday utilities.

04

If the change in the behaviour is confirmed by i-PROGNOSIS, Emily and her doctor will be informed and her health status will be evaluated against the risk of Parkinson’s disease.

05

If Emily desires it and if relevant, i-PROGNOSIS in collaboration with the doctor will provide her with supportive interventions to sustain her quality of life.

 

What about funding?

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The i-PROGNOSIS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690494.

> Learn more about i-PROGNOSIS funding