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PREDICT

PREDICT

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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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.

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

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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