Opendata, web and dolomites



Total Cost €


EC-Contrib. €






 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.

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

Project "PREDICT" data sheet

The following table provides information about the project.


Organization address
address: Shenkar 1, WeWork Building
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
 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


Take a look of project's partnership.

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


 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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