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Emedgene

An ICT decision support system for clinical interpretation of genomic data, used by geneticists to rapidly and accurately pinpoint unique disease-causing variants

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Emedgene" data sheet

The following table provides information about the project.

Coordinator
EMEDGENE TECHNOLOGIES LTD 

Organization address
address: DERECH MENACHEM BEGIN 125 STREET
city: TEL AVIV
postcode: 6107002
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://www.emedgene.com/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2018-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EMEDGENE TECHNOLOGIES LTD IL (TEL AVIV) coordinator 50˙000.00

Map

 Project objective

With the increasing volume of genetic sequences, bioinformatics methods, data about variants and mutations, and research publications, clinical interpretation remains a complex and labour-intensive task. As a result, clinical interpretation became the costly piece of genetic testing, limiting scale, keeping turnaround time high, and driving up costs of a test. Moreover, after the geneticist’s work is done, clinicians still remain with partial, insufficient information to base their clinical decisions on. Emedgene have developed an ICT platform for clinical interpretation of genomic data. The platform continuously scans all public resources and databases available, retrieves information from written publications using Natural Language Processing, and intelligently integrates the data into unified ontologies. It is the first artificial intelligence platform, modelled on the behaviour of sophisticated genomic interpreters, to automatically pinpoint the unique disease-causing variants and deliver results with solid evidence and reasoning, providing a clear path to clinical decisions. Within the overall project, Emedgene plan to optimise the platforms interpretations capabilities, demonstrate and validate it in clinical environments, and fully establish the European commercialisation strategy.

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

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