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Big Data EEG-Analysis for Advanced Personalised Medicine in Depression

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.

therapies    brain    body    98    percentage    temperature    savings    dramatically    diagnosis    fat    validated    metrics    trial    invasive    33    treatment    tool    easily    mdd    52    normal    disorder    modern    costly    functions    determines    day    measuring    depressive    total    mental    gdp    treatments    improves    life    diagnose    antidepressants    countless    suffer    cholesterol    slows    population       million    truly    personalised    patient    hinders    amelioration    predicts    biomarkers    rates    disorders    ranges    responsiveness    reduces    elminda    weight       compare    electroencephalogram    equivalent    predict    prevents    symptoms    equal    measured    delays    treat    ownership    accounting    quantifying    error    ailments    time    organ    right    tms    quality    remission    individual    prescribed    health    psa    brains    eluded    medicine    event    healthcare    heavy    receiving    people    rarely    substantiation    doctors    patients    unable    accurately    suspected   

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]
 Total cost 2˙798˙450 €
 EC max contribution 1˙958˙915 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2021-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ELMINDA LTD IL (HERZLIYA) coordinator 1˙958˙915.00


 Project objective

Modern medicine has given us countless methods of understanding, measuring and managing such metrics of our health as temperature, weight, body fat percentage, cholesterol, PSA values, etc. A patient’s measured values are easily compared against well-established normal ranges. And yet a simple, non-invasive method for measuring and quantifying the health of our brains has eluded us. Being unable to accurately measure and compare how a brain functions hinders doctors’ ability to diagnose and treat suspected ailments. It also slows the substantiation of new therapies. And, just as importantly, it prevents each of us from truly understanding and taking ownership of the health of our body’s most important organ. Major Depressive Disorder (MDD) has been identified as the leading and most costly mental disorder, accounting for 33% of the total cost of brain disorders, and equal to 1% of the GDP. Each year, about 7% of the population suffer from MDD in Europe, equivalent to 52.98 million people. The current methods of treatment are prescribed through trial and error with patients rarely receiving the ‘right’ treatment from day one. This reduces response rates and delays remission, which has a heavy impact on the individual’s quality of life. elminda has developed the “PREDICT” tool which predicts responsiveness to antidepressants and TMS treatment, and thus dramatically reduces time from diagnosis to amelioration of symptoms for MDD patients. PREDICT determines personalised treatments for MDD patients based on validated electroencephalogram and event-related potential brain-related biomarkers. The tool predicts responsiveness to antidepressants and TMS treatment, and thus dramatically reduces time from diagnosis to amelioration of symptoms. This improves response rates, quality of life and results in significant savings for the healthcare systems.

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

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