Projects
RAPIDO (Un modelo rápido para el mantenimiento predictivo de estructuras de material compuesto con distintos escenarios de daño producidos por impacto) aims to provide a rapid predictive tool for safe and intelligent vehicles for civil or defense applications. Continuous monitoring of the structure's health by employing sensors guarantees the structure's safety...
SYNTHIA is an ambitious collaboration between public and private institutions to facilitate the responsible use of Synthetic Data (SD)in healthcare applications. The project will improve the methodological and technical aspects of SD Generation (SDG) by developingnew techniques and advancing established ones for different data modalities, including genomics and imaging, to...
The general purpose of PRECISEU is connecting innovation ecosystems across Europe to efficiently advance towards a trulypersonalised healthcare, transferring practices and solutions from region to region and scaling up deep-tech healthcare innovationsbased on advanced therapies medicinal products and health data across Europe.
The PRECISEU consortium...
A number of European leading Research Organizations (referred as RTOs hereafter) and research supporting organizations, with a long history of scientific and technology collaboration with Japan, are building a consortium for a proposal focusing on the development of joint High Performance Computing (HPC) applications for future generations of supercomputing...
The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to driveEuropean interoperability by joint development of a common blueprint for federated data access and analysis.
Countries and institutions have made significant investments in secure and trusted data environments to meet the need for...
Climate change is long known to have an impact on different aspects of human health. CLIMATICAT addresses the impacts of climate on the health of the Catalan population, focusing on mental health. We address this topic by integrating different kinds of data: temperature, air pollution, geographic movement, and health (diagnoses, exacerbations, deaths). Our analyses will lead...
The INSPEnCaT project aims:
- To develop a regional climate-chemistry modeling system in order.
- To assess this impact of climate change on air pollution in Catalonia with respect to other European regions.
- To quantify the associated effect on policy-related metrics for human and vegetation exposure, and corresponding...
The ICEBERG project has a two-fold aim: to comprehensively assess sources, types, distributions and impacts of pollution in combination with chronic climate-induced stressors on ecosystems and communities in the European Arctic's land-ocean continuum using a One Health approach, and to develop strategies for enhancing community-led resilience, as well as pollution-control...
The COVID pandemic can be seen as an experiment conducted on the entirety of humankind (as almost everybody has been or will get infected with SARS-CoV-2). It will therefore have the best coverage over the widest variation possible and is therefore ideally suited to study the effects of infections with SARS-CoV-2 on large quantities of heterogeneous individuals.
Integrated digital diagnostics can support complex surgeries in many anatomies where brain tumour surgery is one of the most complex cases. Neurosurgeons face several challenges during brain tumour surgeries, such as critical tissue and brain tumour margins differentiation or the interpretation of large amount of data available provided by several independent devices. To...