Opendata, web and dolomites

CDS-QUAMRI SIGNED

A Clinical Decision Support system based on Quantitative multimodal brain MRI for personalized treatment in neurological and psychiatric disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "CDS-QUAMRI" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: München
postcode: 80539
website: www.mpg.de

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 Germany [DE]
 Total cost 3˙261˙125 €
 EC max contribution 2˙168˙125 € (66%)
 Programme 1. H2020-EU.3.1. (SOCIETAL CHALLENGES - Health, demographic change and well-being)
 Code Call H2020-PHC-2014-two-stage
 Funding Scheme /RIA
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (München) coordinator 636˙250.00
2    UNIVERSITY COLLEGE LONDON UK (London) participant 566˙250.00
3    EBERHARD KARLS UNIVERSITAET TUEBINGEN DE (TUEBINGEN) participant 351˙250.00
4    ACADEMISCH ZIEKENHUIS LEIDEN NL (LEIDEN) participant 345˙000.00
5    CHARITE - UNIVERSITAETSMEDIZIN BERLIN DE (BERLIN) participant 269˙375.00
6    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 0.00
7    GYROTOOLS GMBH CH (WINTERTHUR) participant 0.00

Mappa

 Project objective

A large number of neurological and psychiatric disorders lack objective criteria for primary diagnoses, early differential diagnosis with regard to subtypes in treatment response and disease progression or effective therapy monitoring resulting in a tremendous negative socio-economic impact. Scientific studies based on advanced MRI methods indicate that related patients show specific subtle changes in multiple MRI readouts that are only detectable by quantitative approaches. Existing tools for MRI data analysis are largely insufficient to maximise the use of advanced modality based, diverse and complex MRI data with deficiencies existing mainly in interoperability as well as data organisation, integration, analysis and exploitation in clinical decision making. Hence, the development of a clinical decision support system for neurological and psychiatric disorders is envisioned that is based on multimodal quantitative magnetic resonance imaging, advanced feature extraction and multi-parametric classification. To that the quantitative analysis of structural, functional and metabolic MRI data (11 modalities) shall be fully integrated into a single software framework for the first time; support of large data, interoperability and access for non-expert users shall be enabled and a machine learning based classification module shall be developed. The quantification and feature extraction algorithms for metabolic, perfusion, diffusion and functional imaging shall be enhanced to access the full information content of the data independent of vendor specific scan protocols as required for future use in diagnostics, stratification and monitoring of patients. The envisioned clinical decision support system shall be tested, optimized and demonstrated for major depression and multiple sclerosis, but can be extended to additional disorders by enabling large scale clinical trials and more widespread use in neuroscience as a basis for the future clinical decision making.

 Work performed, outcomes and results:  advancements report(s) 

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CDS-QUAMRI" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "CDS-QUAMRI" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.1.)

eHealth Week (2016)

eHealth Week 2016

Read More  

EHW15 (2015)

High Level eHealth Conference 2015

Read More  

MACUSTAR (2017)

Develop and validate appropriate and acceptable outcome measures in intermediate age-related macular degeneration for future interventional clinical trials - Sofia ref.: 116076

Read More