Projectes

Showing 11 - 20 results of 266

PRACE, the Partnership for Advanced Computing is the permanent pan-European High Performance Computing service providing world-class systems for world-class science. Systems at the highest performance level (Tier-0) are deployed by Germany, France, Italy, Spain and Switzerland, providing researchers with more than 17 billion core hours of compute time. HPC experts from 25...

Long non-coding RNAs (lncRNAs) are abundant in mammalian transcriptomes. However, it remains unclear how many of them are functional, and how their functions are performed. LncRNAs seem to be poorly conserved at the sequence level, but some of them share conserved structural elements and are present at syntenic genomic positions in different species. A recent study revealed...

CAMS_43 is a project that requires experience and expertise in several domains: global aerosol modelling, physics and chemistry of the atmosphere, data assimilation and its computational aspects, as well as a detailed knowledge on the architecture and functioning of the IFS. Our proposal is a continuation and an extension of what was achieved during phase 1 of CAMS_43. It...

EOSC, Biological Medical Research Infrastructures, BMS RI, ESFR, Cloud, Data Resources, GDPR EOSC-Life brings together the 13 Biological and Medical ESFRI research infrastructures (BMS RIs) to create an open collaborative space for digital biology. It is our joint response to the challenge of analysing and reusing the prodigious amounts of data produced by life-science....

In the previous project, EPIC, we developed a consistent methodological framework for the exploration of disease comorbidity at the molecular level. EPIC provides a first overview of disease interactions from the general level to the one of individual patients. Particularly interesting is the network of patient-subgroups that matches, in a statistically significant manner,...

The aim of the project is to develop a comprehensive framework for generalizing network analytics and fusion paradigms of non-negative matrix factorization to medical data. Heterogeneous, interconnected, systems-level omics data are becoming increasingly available and important in precision medicine. We are seeking to better stratify and subtype patients into risk groups,...

Organic aerosols (OA) affect climate forcing and human health, but still large uncertainties exist in their sources and evolution. A large fraction of submicron particulate matter, 20%90%, can be attributed to OA. Recent studies have shown that secondary organic aerosols (SOA) account for a large fraction of the OA burden. Most OA efficiently scatter visible radiation and...

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...

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