Projects

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Cancer is one of the leading causes for disease and death in Europe with millions of people being diagnosed or dying because of it. In addition, billions of euros need to be injected into the system to fight these diseases. Cancer tumours are extremely heterogeneous entities with complex subclonal structures that interact with normal cells surrounding them. This complexity...

Interacting and successive extreme climatic events, such as droughts and floods, can trigger outbreaks of multiple infectious diseases. These compound hazards can devastate communities if risk reduction plans are not implemented to protect vulnerable populations. Recent methodological advances in climate-sensitive disease modelling have allowed the quantification of the combined impact of...

REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware (HW) and Software (SW) stack around a RISC-V CPU, which will provide significantly higher levels of a) performance (e.g., inferences per second), b) energy/power efficiency (e.g., inferences per...

Interstitial Lung Diseases (ILDs) are a heterogeneous group of >100 different rare diseases, which share the fate of progressive scarring and, ultimately, death. Two anti-fibrotic drugs have demonstrated to slow-down fibrotic progression and steroids/immunosuppressants are commonly used for inflammatory-driven ILDs. However, patient's response to therapeutic options is...

EUropean Federation for CAncer IMages (EUCAIM) joins 79 partners to deploy a pan-European digital federated infrastructure of FAIR cancer-related de-identified images from Real-World. The infrastructure is designed to preserve the data sovereignty of providers and provide a platform, including an Atlas of Cancer Images, for the development and benchmarking of AI tools towards...

To underpin the regular use of integrated economic and health modelling in impact assessments and socio-economic analysis by public authorities, the MARCHES project aims to advance methodological rigour and consistency in accounting for the welfare economic health costs of air pollution and drinking water nitrate, based on systematic reviews of health effects, and by...

EDITO-Model Lab will prepare the next generation of ocean models, complementary to Copernicus Marine Service to be integrated into the EU public infrastructure of the European Digital Twin Ocean (EDITO) that will ensure access to required input and validation data (from EMODnet, EuroGOOS, ECMWF, Copernicus Services and Sentinels satellite observations) and to high-performance...

The overall goal of the SECURED project is to scale up multiparty computation, data anonymization and synthetic data generation, by increasing efficiency and improving security, with a focus on private and unbiased artificial intelligence and data analytics, health related data and data hubs, and cross-border cooperation. The project will address the limitations that are...

The COVID-19 pandemic has starkly demonstrated the need for better disease intelligence that is capable of anticipating and identifying epidemic risks and outbreaks. This includes emerging and re-emerging mosquito-borne disease (MBD) risks. In the absence of effective vaccine solutions for most MBDs, attention has turned to vector management as an effective, but underutilized opportunity for...

The potential of precision medicine is tremendous in the transition towards future digital healthcare system. Genome data analysis is a critical component in the success of precision medicine. Sequencing and analysing the whole genome of a patient will allow developing personalised therapies, anticipating health problems and enabling preventive therapies. Intensive...

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