Pcs Professional Clinical Software

Austria Prestataire R&D privé
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INDUSTRIERING 11
9020 Klagenfurt
Austria
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Profil scientifique partiel
Quelques documents de Pcs Professional Clinical Software
Creating new knowledge in networks of medical research
MULTI-KNOWLEDGE
2006 - 2008

Sujets :
Telecommunications, Information Processing, Information Systems, Medicine, Health
Type de contrat :
Specific Targeted Research Project
Participants :
CENTRO DI CULTURA SCIENTIFICA "A. VOLTA" ITALIA
CENTRO DI CULTURA SCIENTIFICA "A. VOLTA"
Other

VIA CANTONI 1, VILLA OLMO 22100
ITALIA
DATAMED A.E. HEALTHCARE INTEGRATOR HELLAS
DATAMED A.E. HEALTHCARE INTEGRATOR
Other

ODOS GRAMMOU 71 15124
HELLAS
PCS PROFESSIONAL CLINICAL SOFTWARE GMBH ÖSTERREICH
PCS PROFESSIONAL CLINICAL SOFTWARE GMBH
Industry

INDUSTRIERING 11 9020
ÖSTERREICH
INFORMATION MANAGEMENT GROUP LTD UNITED KINGDOM
INFORMATION MANAGEMENT GROUP LTD
Other

CHANDOS STREET 4 W1M 9DG
UNITED KINGDOM
KING'S COLLEGE LONDON UNITED KINGDOM
KING'S COLLEGE LONDON
Education

Strand
UNITED KINGDOM
TO BE DECIDED UNSPECIFIED
TO BE DECIDED

Unspecified
UNSPECIFIED
UNIVERSITA DEGLI STUDI DI PARMA ITALIA
UNIVERSITA DEGLI STUDI DI PARMA
Education,Other

VIA UNIVERSITA 12 43100
ITALIA
PCS PROFESSIONAL CLINICAL SOFTWARE Austria
PCS PROFESSIONAL CLINICAL SOFTWARE
Industry

INDUSTRIERING 11 9020
Austria
AGILENT TECHNOLOGIES ISRAEL Israel
AGILENT TECHNOLOGIES ISRAEL
Industry

AZORIM PARK, KIRYAT ARIE, 94 EM HAMOSHAVOT ROAD
Israel
SATA Italy
SATA
Industry

VIA UGO FOSCOLO 11
Italy
Hide objective
MULTI-KNOWLEDGE starts from the data processing needs of a network of Medical Research Centres, in Europe and USA, Partners in the Project and co-operating in researches related to the link between metabolic diseases and cardiovascular risks. These needs are mostly related to the integration of three main sources of information: clinical data (EHR), patient-specific genomic and proteomic data (in particular data produced through Micro-arrays technology), and demographic data. The general aim of the project will be the development of a knowledge management environment to allow networks of co-operating medical research centres to create, exchange and manipulate new knowledge from heterogeneous data sources. MULTI-KNOWLEDGE will create an intelligent workflow environment for multi-national multi-professional research consortia aiming at cooperatively mining, modelling, visualizing biomedical data under a single common perspective. This will allow retrieval and analysis of millions of data through bio-informatics tools, with the intent of improving medical knowledge discovery and understanding through integration of biomedical information. MULTI-KNOWLEDGE will contribute to the creation of standards to link heterogeneous data. The clusterization models produced within the project will allow discrimination between normal and pathologic and produce insight for clinical research and disease management. The MULTI-KNOWLEDGE architecture and set of tools will be tested for the development of a structured system to integrate data in a single informative system committed to cardiovascular risk assessment. Therefore this project will also contribute to establish guidelines and operating procedures to manage and combine data coming from protein arrays and make them easily available for the imputation of study algorithms.

Source : cordis  





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