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QRD

A uniQue platform enabling faster development of treatments for Rare Diseases

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "QRD" data sheet

The following table provides information about the project.

Coordinator
DECODEON BV 

Organization address
address: BOOTHSTRAAT 5
city: UTRECHT
postcode: 3512 BT
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 Netherlands [NL]
 Project website http://www.decodeon.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 2017
 Duration (year-month-day) from 2017-01-01   to  2017-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DECODEON BV NL (UTRECHT) coordinator 50˙000.00

Map

 Project objective

Patient availability is one of the key elements associated with the successful execution of rare disease drug trials, and at the same time a major bottleneck that increases drug development time and cost. Patient recruitment is responsible for 25-30% of the total costs of a clinical trial, for adding substantially to the duration of a trial, and for the failure of 1 in 3 Phase 3 clinical trials. Decodeon aims to transform this bottleneck into a major node in the value chain by developing and deploying structured and efficient patient registries for pharma companies and Contract Research Organisations (CROs). In doing so, Decodeon aims to overhaul this major inefficiency in clinical trial management, while tapping into an unexplored market worth €2.5 billion. Currently, big pharma tenders clinical trials to CROs, who perform a trial for e.g. a lump sum. Decodeon will provide CROs with rare disease patients who have pre-consented with inclusion in a clinical trial, filtered based on the specific inclusion/exclusion criteria of the trial, and at the required numbers. As a consequence, CRO efficiency will increase, through lowering the time required for patient recruitment and the associated costs. Support for our novel platform is demonstrated through letters of support, annexed to this proposal.

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

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