Explore the words cloud of the EU-STANDS4PM project. It provides you a very rough idea of what is the project "EU-STANDS4PM" about.
The following table provides information about the project.
FORSCHUNGSZENTRUM JULICH GMBH
|Coordinator Country||Germany [DE]|
|Total cost||2˙042˙411 €|
|EC max contribution||2˙042˙411 € (100%)|
1. H2020-EU.3.1.6. (Health care provision and integrated care)
|Duration (year-month-day)||from 2019-01-01 to 2021-12-31|
Take a look of project's partnership.
|1||FORSCHUNGSZENTRUM JULICH GMBH||DE (JULICH)||coordinator||512˙465.00|
|2||KOBENHAVNS UNIVERSITET||DK (KOBENHAVN)||participant||399˙610.00|
|3||HITS GGMBH||DE (HEIDELBERG)||participant||190˙000.00|
|4||EUROPEAN MOLECULAR BIOLOGY LABORATORY||DE (HEIDELBERG)||participant||189˙430.00|
|5||UNIVERSITY COLLEGE LONDON||UK (LONDON)||participant||175˙000.00|
|6||THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD||UK (OXFORD)||participant||88˙287.00|
|7||BAYER AKTIENGESELLSCHAFT||DE (Leverkusen)||participant||67˙500.00|
|8||DIN DEUTSCHES INSTITUT FUER NORMUNG E.V.||DE (BERLIN)||participant||67˙500.00|
|9||VILNIAUS UNIVERSITETAS||LT (VILNIUS)||participant||63˙750.00|
|10||KAROLINSKA INSTITUTET||SE (STOCKHOLM)||participant||61˙875.00|
|11||UNIVERSITA DEGLI STUDI DI PARMA||IT (PARMA)||participant||60˙000.00|
|12||CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIEL||DE (KIEL)||participant||54˙493.00|
|13||ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM||NL (ROTTERDAM)||participant||37˙500.00|
|14||FEDERAL AGENCY FOR MEDICINES AND HEALTH PRODUCTS||BE (BRUSSELS)||participant||30˙000.00|
|15||QIAGEN GMBH||DE (HILDEN)||participant||22˙500.00|
|16||UNIVERSITAET ROSTOCK||DE (ROSTOCK)||participant||22˙500.00|
The capacity to generate data in Life Sciences and health research with modern omics and imaging technologies has increased many orders of magnitude in the last decade. In combination with patient/personal derived data such as electronic health records, patient registries and -databases, as well as life style information this Big Data holds an immense potential for clinical applications, especially for in silico personalized medicine approaches. However, and despite the ever progressing technological advances in producing data, the exploitation of Big Data information to generate new knowledge for medical benefits, while guaranteeing data privacy and security, is lacking behind its full potential. A reason for this obstacle is the inherent heterogeneity of Big Data and the lack of broadly accepted standards that allow interoperable integration of heterogeneous health data to perform analysis and interpretation for predictive in silico modelling approaches in health research such as personalized medicine. Further obstacles are legal issues surrounding the use of personal data. To overcome these obstacles, we will establish a pan-European Expert forum with two main objectives: (i) to assess and evaluate national standardization strategies for interoperable health data integration (such as omics-, disease-focused-, clinical-/treatment- or healthcare- and socioeconomic-/lifestyle-data) as well as data-driven in silico modelling approaches and (ii) to harmonize and develop universal (cross-border) standards as well as recommendations for in silico methodologies applied in personalized medicine approaches. This pan-European Expert Forum —the EU-STANDS4PM consortium— has the overarching aim to bundle transnational standardization guidelines for in silico methodologies in transnational and clinical research to unfold the potential of personalized medicine.
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The information about "EU-STANDS4PM" are provided by the European Opendata Portal: CORDIS opendata.