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Motivation
Blood sugar fluctuations can affect quality of life even in healthy individuals, potentially leading to cravings, weight gain and, in the worst case, metabolic disorders. So-called Continuous Glucose Monitoring (CGM) systems enable continuous monitoring of blood glucose levels. However, they require the implantation of a sensor beneath the skin. Non-invasive systems offer a more convenient option for long-term monitoring of blood glucose levels and prevention of related health issues, even for healthy individuals.
Objectives and approach
Our team is developing a system that monitors blood sugar fluctuations non-invasively. Sensors, similar to those used in smartwatches, continuously record biometric data such as heart rate and skin temperature, from which blood glucose levels are derived. Our technology analyzes and visualizes this data in real time and uses machine learning to generate personalized fluctuation forecasts. Based on these insights, users can make informed decisions to improve health outcomes, promote self-care, reduce the risk of long-term complications and ultimately enhance quality of life.
Our partners in this project are:
Innovations and perspectives
Our technology combines real-time blood glucose measurement with personalized, actionable dietary recommendations, providing a comprehensive solution for improving blood glucose management and transforming dietary self-management.
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