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

Obiettivo

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.

Invito a presentare proposte

H2020-SMEInst-2016-2017

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Bando secondario

H2020-SMEINST-1-2016-2017

Meccanismo di finanziamento

SME-1 - SME instrument phase 1

Coordinatore

EMEDGENE TECHNOLOGIES LTD
Contribution nette de l'UE
€ 50 000,00
Indirizzo
DERECH MENACHEM BEGIN 125 STREET
6107002 TEL AVIV
Israele

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PMI

L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.

Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 71 429,00