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A European standardization framework for data integration and data-driven in silico models for personalized medicine

Descripción del proyecto

Integrar datos masivos para modelos predictivos informáticos en medicina personalizada

Los avances tecnológicos en las ciencias biomédicas a lo largo de los años han conducido a la producción de una gran cantidad de datos ómicos, de imagenología, de salud y sobre el estilo de vida. Aunque estos datos masivos tengan un potencial inmenso para aplicaciones clínicas, todavía este no se ha explotado de forma satisfactoria. El objetivo principal del proyecto EU-STANDS4PM, financiado con fondos europeos, es establecer un foro de expertos paneuropeo a fin de evaluar las normas existentes y desarrollar directrices universales para la integración armonizada de datos de salud heterogéneos para metodologías «in silico». La labor del proyecto ayudará a brindar directrices para verificar y validar modelos predictivos informáticos que pueden aplicarse en enforques de medicina personalizada.

Objetivo

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.

Convocatoria de propuestas

H2020-SC1-BHC-2018-2020

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-SC1-2018-Single-Stage-RTD

Régimen de financiación

CSA - Coordination and support action

Coordinador

FORSCHUNGSZENTRUM JULICH GMBH
Aportación neta de la UEn
€ 489 590,00
Dirección
WILHELM JOHNEN STRASSE
52428 Julich
Alemania

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Región
Nordrhein-Westfalen Köln Düren
Tipo de actividad
Research Organisations
Enlaces
Coste total
€ 489 590,00

Participantes (16)