Content with Research infrastructure ELIXIR .

B1MG

The Beyond 1 Million Genomes project helps to create a network of genetic and clinical data across Europe. The project provides coordination and support to the 1+MG Initiative and will create long-term means of sharing data and enabling access beyond 1 million genomes.

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BIGPICTURE

BIGPICTURE, a pathology-led project, has the vision to become the catalyst of digital transformation in Pathology. Our mission is to create the first European GDPR compliant platform, in which both quality-controlled Whole Slide Imaging (WSI) data and advanced Artificial intelligence (AI) algorithms exist.

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CINECA

CINECA aims to provide a standardized, secure and scalable discovery and analysis infrastructure for data collected from national cohorts and disease collections. The consortium includes access to more than 1.4 million samples maintained by the biobank network in Europe, Africa and Canada

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EHDS2 Pilot

The EHDS2 Pilot project will build and test a first version of European Health Data Space (EHDS) by interconnecting data provider platforms in a network of nodes, defining common standards for security, metadata catalogs, data quality and interoperability, and legal requirements based on use cases.

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EJP-RD

The European Joint Programme on Rare Diseases brings over 130 institutions from 35 countries to create a comprehensive, sustainable ecosystem allowing a virtuous circle between research, care and medical innovation.

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ELIXIR Finland

ELIXIR, the European life-science infrastructure for biological information, is a unique and unprecedented initiative that consolidates Europe's national centres, services, and core bioinformatics resources into a single, coordinated infrastructure.

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ELIXIR-CONVERGE

ELIXIR-CONVERGE is a project funded by the European Commission to help standardise life science data management across Europe. To achieve this standardisation, the project will develop a data management toolkit for life scientists.

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EOSC-Life

EOSC-Life brings together the 13 Biological and Medical ESFRI research infrastructures to create an open collaborative space for digital biology. EOSC-Life implements the Life Science part of the EOSC under coordination of ELIXIR, European infrastructure for Life Science Information.

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EOSC4Cancer

EOSC4Cancer will make cancer genomics, imaging, medical, clinical, environmental and socio-economic data accessible. It will use and enhance existing federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR cancer data across borders, and offer them via community-driven analysis environments.

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GDI

The Genomic Data Infrastructure (GDI) project brings together national agencies, research organisations, and technology providers in 22 countries to provide a cross-border federated network of national genome collections for advancing data-driven biomedical research and personalised medicine solutions to benefit citizens of Europe.

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HealthyCloud

The aim of HealthyCloud is to drive the convergence of and align all the knowledge and expertise in health data, spread across European and international actors, to set the foundations for a future European Health Research and Innovation Cloud (HRIC), which will become a fundamental part of the EHDS.

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HEAP

HEAP will provide a research resource for an integrated and efficient analysis of the human exposome. HEAP will launch a state-of-the-science informatics infrastructure composed of prime ICT resources, accessed through a software platform to provide data warehousing and applied AI.

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Heilsa Tryggvedottir

The objective of Heilsa Tryggvedottir e-Infrastructure collaboration is to productise and build on NeIC Tryggve project to increase interoperability of the Nordic e-Infrastructure to support data management, including requirements for data quality, standards, technical infrastructure, while also considering ethical, legal, and societal issues.

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INTERVENE

The aim of INTERVENE is to build the largest pool of health data to date and integrate longitudinal and disease-relevant omics data into genetic risk scores with unprecedented potential for prediction, prognosis, and personalised treatments of complex and rare diseases.

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PerMedCoE

The HPC/Exascale Centre of Excellence in Personalised Medicine (PerMedCoE) aims to provide an efficient and sustainable entry point to the HPC/Exascale-upgraded methodology to translate omics analyses into actionable models of cellular functions of medical relevance.

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