On January 1st 2019 the Horizon2020 Coordinating and Support Action "EU-STANDS4PM - A European standardization framework for data integration and data-driven in silico models for personalized medicine" launched activities with support by the European Commission Directorate-General for Research and Innovation. During the next three years EU-STANDS4PM will initiate a EU-wide mapping process to assess and evaluate strategies for data-driven in silico modelling approaches. A central goal is to develop harmonized transnational standards, recommendations and guidelines that allow a broad application of predictive in silico methodologies in personalized medicine across Europe.
From data to knowledge - standards for personalized medicine
Despite the ever progressing technological advances in producing data in life sciences, health and clinical research, the exploitation of the underlying data information to generate new knowledge for medical benefits is lacking behind its full potential. A reason for this obstacle is the inherent heterogeneity of different data sources and the lack of broadly accepted standards. In addition, further obstacles are associated with legal and ethical issues surrounding the use of personal data across disciplines and borders. There is a clear multi-disciplinary need for broadly applicable transnational standardization guidelines compliant with legal and ethical regulations that allow interpretation of heterogeneous health data through in silico guided methodologies. Such standards as well as interoperable solutions will foster data harmonization and integration approaches across multiple disciplines to truly strengthen the predictive potential of personalized medicine.
Aims
EU-STAND4SPM will assess and evaluate national standardization strategies for health data integration as well as data-driven in silico modelling approaches for personalized medicine with the aim to bundle European standardization efforts. A central goal is to harmonize and develop cross-border standards as well as recommendations and guidelines for in silico methodologies applied in personalized medicine to:
EU-STANDS4PM is an open network and seeks input from all relevant stakeholders that have an interest in advancing predictive in silico methodologies in personalized medicine through broadly applicable standards as well as coordinated procedures for integration and harmonization of heterogeneous health data. This will help to sustain the competitiveness of the European Research Area and ensure a leading role for the European personalized medicine community of stakeholders in the transition from current reactive medical practice to a data-driven and predictive medicine of the future.
Consortium
The EU-STANDS4PM consortium consists of the following partner institutions:
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EU-STANDS4PM is funded by the European Union Horizon2020 framework programme of the European Commission, Directorate-General for Research and Innovation under Grant Agreement #825843.
Website http://www.eu-stands4pm.eu