SOURCE-LINKED INTELLIGENCE
Multivariate optoacoustic sensor for longitudinal diabetes monitoring
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.