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.

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.