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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.

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

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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