Project description
Monitoring diabetes and cardiovascular disease at home
Suffering from diabetes radically increases chances of developing heart disease. Diabetes and cardiovascular disease are the most deadly diseases in Europe, and the main cause of heart attacks or strokes. The detection and monitoring of disease in its early stages has lifesaving potential. Unfortunately, we presently lack non-invasive systemic measurements that could be used outside of clinical facilities. To fill this gap, the EU-funded RSENSE4Health project will enable fast introduction to the market of a pioneering, powerful and portable optoacoustic sensor developed under the FET Open project RSENSE. With its sharp specifications and unique performance, it will ensure patient safety in home environments.
Objective
Diabetes and cardiovascular disease (CVD) are responsible for the majority of the morbidity and mortality in the EU. However, to date there is no technology available that offers a non-invasive and portable way for disseminated measurements of disease effects on the systemic level or for monitoring disease progression from early development stages. RSENSE4Health aims to accelerate the exploitation of a powerful, portable optoacoustic sensor, developed under the FET Open project RSENSE. For the first time, this sensor can non-invasively detect the systemic effects of diabetes and CVD developing in home environments – a performance not available to any other sensors. With more than one billion potential users, this technology has an enormous market and global impact potential. To bring this innovation to the market, RSENSE4Health will sharpen product specifications with stakeholder interviews, solidify patent strategy, and identify an optimal regulatory and business roadmap. RSENSE4Health will synergize with the RSENSE consortium to strengthen the exploitation plan and accelerate company spin-off and product launch.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciencessociologydemographymortality
- medical and health sciencesclinical medicineendocrinologydiabetes
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-FETOPEN-2018-2020
See other projects for this callSub call
H2020-FETOPEN-2018-2019-2020-4
Funding Scheme
CSA - Coordination and support actionCoordinator
80333 Muenchen
Germany