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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.

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

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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