Project description
AI patches to predict real-time disease progression
COVID-19 is associated with so many different symptoms – from a sore throat and the loss of taste to more serious ones like lung failure. Is there a way to predict how serious the disease will be when it first manifests? The EU-funded DIGIPREDICT project is developing a system based on AI that can predict whether COVID-19 patients will develop severe cardiovascular complications and, in the longer term, detect the likely onset of inflammatory disease. Specifically, it proposes the first of its kind Digital Twin that will consist of a smart patch with integrated technology for collecting a range of medical data. This will be able to monitor how well the treatment is working.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health sciencesbasic medicinephysiology
- engineering and technologyother engineering and technologiesmicrotechnologyorgan on a chip
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
1015 Lausanne
Switzerland
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Participants (9)
7522 NB Enschede
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8092 Zuerich
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3001 Leuven
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5656 AE Eindhoven
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10117 Berlin
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3012 Bern
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1025 Saint Sulpice
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
16425 Kista
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1096 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.