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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.

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

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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