Projects
Beyond-COVID (BY-COVID) aims to provide comprehensive open data on SARS-CoV-2, and other infectious diseases across scientific, medical, public health and policy domains. The project will have a strong emphasis on mobilising raw viral sequences, helping to identify and monitor the spread of SARS-CoV-2 variants. It will further accelerate access to and linking of data and...
RI-URBANS aims to demonstrate how Service Tools (STs) from atmospheric Research Infrastructures (RIs) can be adapted and enhanced to better address the challenges and societal needs concerning air quality (AQ) in European cities and industrial hotspots. RI-URBANS responds to urgent needs to substantially reduce air pollution across EU by providing enhanced AQ observations in...
Características socio-demográficas, como la profesión y la situación laboral, resultan imprescindibles para entender la salud y el bienestar. La relación entre enfermedades y profesiones se debe a múltiples factores, como el riesgo aumentado de exposición a sustancias tóxicas y patógenos, la sobrecarga...
The analysis of somatic variation has become an essential part of biomedicine, mostly affecting cancer genomics. With the increasingaccessibility to whole-genome sequencing by research groups and the incorporation of genomics into healthcare, the demand for highquality ways of improving discovery.As a natural continuation of the previous project and in the context of...
The creation of a European Health Data Space is one of the six strategic priorities for the newly elected European Commission. The European Health Research and Innovation Cloud (HRIC) will be one of the future cornerstone pieces for this area. HealthyCloud will deliver a Strategic Agenda including a Ready-to-implement Roadmap for the HRIC ecosystem. The Strategic Agenda will...
The overarching aim of EARLY-ADAPT is to jointly analyse the environmental (climate variability, air pollution, desert dust and infectious diseases) and socioeconomic (macroeconomy, ageing, inequality and gender gap) drivers of recent trends in public health, focusing on human mortality, hospital admissions, occupational accidents and maternal and child...
The goals of this inter-disciplinary project are to:
1) gain understanding of the mechanisms causing chemoresistance in high-grade serous ovarian cancer (HGSOC) patients,
2) deliver tools that enable effective and cost-efficient personalised treatment options for HGSOC patients, and
3) commercialise...
For Artificial Intelligence (AI) to become fully pervasive it needs resources at the edge of the network. The cloud can provide the processing power needed for big data, but edge computing is located close to where data are produced and is therefore crucial to their timely, flexible, and secure management.
AI-SPRINT will define a framework for...
High-Performance Computing (HPC), used to be promoted mainly by the big science and defence communities. However, with the recent advent of AI and IoT, wider use of HPC is bringing new benefits to areas such as industry, healthcare and the economy. All regions now see intense investments in HPC as an essential in order to compete globally. In this context, coordination and...
IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology and Innovation (STI) policy. Large STI datasets are processed on a High Performance Computing (HPC)...