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PREDICT

PREDICT

Total Cost €

0

EC-Contrib. €

0

Partnership

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 PREDICT project word cloud

Explore the words cloud of the PREDICT project. It provides you a very rough idea of what is the project "PREDICT" about.

researched    rates    technologies    treatment    health    predict    expectancy    scope    accurate    generate    antidepressants    disorders    tools    citizens    makers    depressive    professional    cover    ip    later    property    adoption    expanded    monitors    reduce    feasibility    positively    software    anti    life    decisions    burden    transcranial    impacts    framework    caused    medical    conventional    suicide    economic    tool    clear    disruptive    light    mental    clinical    alternative    experiencing    intellectual    drug    intends    personalize    depressant    brain    providers    good    improving    patient    diagnosis    suggested    stakeholders    quality    disabilities    efficacy    potentially    clinics    time    shortage    freedom    electrophysiological    depression    mdd    supporting    optimizing    solution    benefits    disorder    invasive    treatments    stimulation    physicians    magnetic    elminda    updated    depressed    optimized    social    operate    clinicians    tackle    decision    stages    people    eeg    innovative    tms    society    psychiatric    options    service    informed    patients    prediction    exploring   

Project "PREDICT" data sheet

The following table provides information about the project.

Coordinator
ELMINDA LTD 

Organization address
address: Shenkar 1, WeWork Building
city: HERZLIYA
postcode: 4673314
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website http://elminda.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.1.4. (Active ageing and self-management of health)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.3.1.6. (Health care provision and integrated care)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2018-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ELMINDA LTD IL (HERZLIYA) coordinator 50˙000.00

Map

 Project objective

Improving the current medical practice for mental health disorders such as depression, is a major concern for all stakeholders.The overall costs such as social and professional disabilities, increasing suicide rates, remain under-researched and their impacts are under-recognized by key decision-makers. In light of the economic and social burden caused by major depressive disorder (MDD), there is a strong need in the EU to provide citizens with adequate diagnosis and optimized treatment options. In this framework, PREDICT represents an innovative and disruptive tool; it is an EEG integrated software-based solution for physicians, which monitors brain electrophysiological activity with the scope of supporting and optimizing treatment decisions for depressed patients. The adoption of PREDICT in psychiatric clinics will positively affect patients, clinicians and it will potentially reduce costs for health service providers and for the whole society. Innovative technologies such as non-invasive Transcranial magnetic stimulation (TMS) offer a good alternative to the conventional antidepressants drug treatment. There is clear shortage in clinical PREDICTion tools which support better informed decisions and tackle the need to personalize the patient treatment. Our solution will provide a real-time, cost-effective method to assess TMS treatment efficacy and allow higher rates of treatment response. At later stages of product development, it will be expanded to cover PREDICTion to all available anti-depressant treatments. The suggested feasibility study will assess the overall economic benefits and will support ElMindA in exploring intellectual property opportunities through IP management and updated “Freedom to operate” analysis. By providing an accurate, simple to use cost-effective tool, our project intends to deliver an innovative solution that can generate a strong impact on society, increasing the quality of life and life expectancy of people experiencing major depression.

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The information about "PREDICT" are provided by the European Opendata Portal: CORDIS opendata.

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