PredictND

From Patient Data to Clinical Diagnosis in Neurodegenerative Diseases

 Coordinatore TEKNOLOGIAN TUTKIMUSKESKUS VTT 

 Organization address address: Sinitaival 6
city: Tampere
postcode: 33720

contact info
Titolo: Dr.
Nome: Jyrki
Cognome: Lötjönen
Email: send email
Telefono: +358 20 722 3378
Fax: +358 20 722 3499

 Nazionalità Coordinatore Finland [FI]
 Totale costo 4˙219˙646 €
 EC contributo 3˙148˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2013-10
 Funding Scheme CP
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-02-01   -   2018-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TEKNOLOGIAN TUTKIMUSKESKUS VTT

 Organization address address: Sinitaival 6
city: Tampere
postcode: 33720

contact info
Titolo: Dr.
Nome: Jyrki
Cognome: Lötjönen
Email: send email
Telefono: +358 20 722 3378
Fax: +358 20 722 3499

FI (Tampere) coordinator 0.00
2    ALZHEIMER EUROPE

 Organization address address: route de Thionville
city: Luxembourg
postcode: 2611

contact info
Titolo: Dr.
Nome: Jean
Cognome: Georges
Email: send email
Telefono: +352 29 79 70
Fax: +352 29 79 72

LU (Luxembourg) participant 0.00
3    GE HEALTHCARE LIMITED

 Organization address address: AMERSHAM PLACE
city: LITTLE CHALFONT
postcode: HP7 9NA

contact info
Titolo: Dr.
Nome: Lennart
Cognome: Thurfjell
Email: send email
Telefono: +46 730669057

UK (LITTLE CHALFONT) participant 0.00
4    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: Exhibition Road, South Kensington Campus
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

UK (LONDON) participant 0.00
5    ITA-SUOMEN YLIOPISTO

 Organization address address: YLIOPISTONRANTA
city: Kuopio
postcode: 70211

contact info
Titolo: Mrs.
Nome: Mari
Cognome: Tikkanen
Email: send email
Telefono: +358 40 5222474
Fax: +358 17 163539

FI (Kuopio) participant 0.00
6    REGION HOVEDSTADEN

 Organization address address: KONGENS VAENGE
city: HILLEROD
postcode: 3400

contact info
Titolo: Ms.
Nome: Jette
Cognome: Rasmussen
Email: send email
Telefono: +45 3543572
Fax: +45 35452626

DK (HILLEROD) participant 0.00
7    STICHTING VU-VUMC

 Organization address address: DE BOELELAAN
city: AMSTERDAM
postcode: 1081 HV

contact info
Nome: Michel
Cognome: Telkamp
Email: send email
Telefono: +31 20 444 8190

NL (AMSTERDAM) participant 0.00
8    UNIVERSITA DEGLI STUDI DI PERUGIA

 Organization address address: PIAZZA DELL' UNIVERSITA 1
city: PERUGIA
postcode: 6123

contact info
Titolo: Prof.
Nome: Patrizia
Cognome: Mecocci
Email: send email
Telefono: +39 0755782310

IT (PERUGIA) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

human    diseases    decision    nnpredictnd    clinical    tools    predictnd    persons    dementia    interventions    society    vph    tool    scientific    progression    disease    earlier    diagnostics    ict    risk   

 Obiettivo del progetto (Objective)

Dementia is a growing health problem with enormous costs to society: the costs currently equal 1% of the global gross-domestic product and a three-fold increase to 115 million dementia cases is expected by 2050. Addressing this grave human and economic challenge requires efficient solutions that do not exist yet: tools to detect and diagnose persons at an early phase, and interventions for delaying disease progression.nnPredictND provides an objective ICT-based approach for diagnostics of neurodegenerative diseases. It is based on the principles of evidence-based data-driven medicine and builds upon previous successful Virtual Physiological Human (VPH) projects. An existing decision support tool is enhanced to meet the needs of clinical practice and validated in real conditions across several EU regions. The first goal is to show that modern computer-based models enable earlier and more objective clinical diagnostics. The second goal is to improve cost-efficiency of early diagnostics by developing a low-cost test battery that detects persons at high risk of dementia and forwards these persons to more accurate (and expensive) clinical tests. Everything is implemented as an ICT ecosystem that integrates the clinical decision support tool with services for citizens for assessing the risk of diseases. Thus, PredictND transfers the scientific VPH concepts not only to clinical practice but to an environment suitable for solving the larger challenge of dementia.nnPredictND impacts healthcare professionals by providing tools for objective and earlier diagnostics. The tools, combined with interventions that delay disease progression will increase the quality of life for patients and their caregivers. PredictND also reduces costs to society and produces new scientific understanding of this family of diseases. Finally, PredictND combines excellent clinical, industrial and technological forces with innovative VPH technologies, providing impetus for the European industry.

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