Edge AI-deployed DIGItal Twins for PREDICTing disease progression and need for early intervention in infectious and cardiovascular diseases beyond COVID-19


DIGIPREDICT brings together members from academia, large R&D institutes, hospitals, high-tech SMEs and a management and communication SME from five European countries.


Press release by the EPFL — "Digipredict digital twin will predict the evolution of Covid-19"

DIGIPREDICT proposes the first of its kind digital twin to predict the progression of disease and the need for early intervention in infectious and cardiovascular diseases.

A digital twin is a digital representation of an object or process from the real world in the digital world – and more specifically for the case of DIGIPREDICT – of a patient. The DIGIPREDICT digital twins will be used ‘at the edge’, e.g. at the hospital level.

Our digital twin will use organ-on-chip technology to select the right biomarker combination for generating an accurate picture of how the disease is progressing in a patient and how well the chosen treatments are working
Albert van der Berg, University of Twente

The project combines the latest advances in digital biomarkers, organ-on-chip (OoC) and artificial intelligence at the edge, and aims to build a new interdisciplinary community in Europe focused on digital twins.

The developed system will provide medical doctors with a unique digital tool for early prediction of potential serious complications in COVID-19 patients. Beyond COVID-19, the system promises to also improve the prevention, diagnosis, monitoring and treatment of cardiovascular disease and detect the potential onset of inflammatory disease.

This multi- and cross-disciplinary project will combine scientific excellence with engineering know-how, and leverage the expertise of doctors, biologists, electrical engineers, computer scientists, signal-processing engineers and social scientists from across Europe
Adrian Ionescu, project coordinator, EPFL

The DIGIPREDICT consortium is composed of seven top-level universities, research centres, hospitals and three SMEs bringing together a range of excellent international scientists with complementary and interdisciplinary skills. Together, they combine cross-cutting lines of research in all aspects of intelligent systems with latest advances in biomedical research.

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017915 (DIGIPREDICT).
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