Projects

Showing 11 - 20 results of 258

The overall objectives of the EJP RD are:

  • To improve the integration, the efficacy, the production and the social impact of research on RD through the development, demonstration and promotion of Europe-wide and even world-wide sharing of research and clinical data, materials, processes, knowledge and know-how;
  • To implement and further develop an...

Effective personalized medicine for paediatric cancers must address a multitude of challenges, including domain-specific challenges. To overcome these challenges, we propose a comprehensive computational effort to combine knowledge-base, machine-learning, and mechanistic models to predict optimal standard and experimental therapies for each child. Our approach is based on...

Health scientific discovery and innovation are expected to quickly move forward under the so called fourth paradigm ofscience , which relies on unifying the traditionally separated and heterogeneous high-performance computing and big dataanalytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical...

We propose to create the EUropean-CANadian Cancer network (EUCANCan), a federated infrastructure whose mission is to enable Personalized Medicine in Oncology by promoting the generation and sharing of harmonized genomic and phenotypic data. EUCANCan builds on work performed by members of the consortium and related projects to align and interconnect existing European and...

At an increasing rate, industrial and scientific institutions need to deal with massive data flows streaming in from a multitude of sources. For instance, maritime surveillance applications combine high-velocity data streams, including vessel position signals emitted from hundreds of thousands of vessels across the world and acoustic signals of autonomous, unmanned vessels;...

Artificial Intelligence is a disruptive technology of our times with expected impacts rivalling those of electricity or printing. Resources for innovation are currently dominated by giant tech companies in North America and China. To ensure European independence and leadership, we must invest wisely by bundling, connecting and opening our AI resources. AI4EU will efficiently...

CYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA andPLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within theindustrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at...

Life Sciences have become increasingly digital and this is accelerating. Computational techniques play key roles in processing, analysis and generating new knowledge from experiments, even in replacing them. This has been enabled due to tremendous advances in techniques such as docking and molecular simulations at both atomistic and quantum levels to which world-leading...

High Performance Computing (HPC) has been recognised by the European Union as a key component of the digital single market strategy. The EuroHPC Joint Undertaking is being created to support an integrated European HPC ecosystem covering all scientific and industrial value chain segments (hardware, software, applications, services, interconnections, and skills). HPC...

The Energy-oriented Centre of Excellence (EoCoE) applies cutting-edge computational methods in its mission to accelerate the transition to the production, storage and management of clean, decarbonized energy. EoCoE is anchored in the High Performance Computing (HPC) community and targets research institutes, key commercial players and SMEs who develop and enable...

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