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Multivariate optoacoustic sensor for longitudinal diabetes monitoring

CORDIS · observation · Publication date unknown

oacoustic sensor for longitudinal diabetes monitoring MOSAIC will radically miniaturize non-invasive optoacoustic technology and make it portable by coupling optoacoustic sensing to novel explainable artificial Intelligence (xAI) to monitor a major health threat in the 21st century: Diabetes Mellitus. MOSAIC is based on recent advances on optoelectronic miniaturization and uses the skin as a window to dermal microvasculature and resolves a large number of biomarkers associated with diabetes. The technology is offered as a fast sensor that is inexpensive and reliable, entirely non-invasive and portable and supported by elaborate quality control monitoring so that it can be employed for long-term patient monitoring. Based on proof-of-concept human measurements, xAI will further independently characterize the predictive power of each biomarker and other clinical measurements to improve accuracy for continuous grading of disease status. Impact: With 537 million diabetics and a large at-risk population, MOSAIC potentially relates to 2B people and aims to reach more individuals than is p

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recordType
award
status
SIGNED
region
EU
value
2997921.25
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.