Research Interests

At the core of personalized healthcare lies the ability to accurately assess an individual’s health status and track disease progression. Conventional diagnostic methods often lack the sensitivity and specificity required for early detection and personalized treatment. Therefore, at the samlab, we are dedicated to improving sensing technologies to improve disease diagnosis and management. A special focus lies on the management of diabetes, a chronic condition characterized by elevated blood glucose levels. People with diabetes need to regularly monitor their blood glucose levels to ensure that they are within a healthy range. This can be done through self-monitoring of blood glucose (SMBG), which involves using a glucose meter to measure glucose levels in capillary blood. Continuous glucose monitoring (CGM) is another option that involves wearing a small device that continuously measures glucose levels and sends the data to a receiver or smartphone. Sensing technologies can help people with diabetes to better manage their condition by providing real-time data on glucose levels and other physiological parameters, allowing them to make informed decisions about insulin dosing, meal planning, and physical activity.
One focus of our research is the development of a delay-free glucose sensing technology, which is a key step towards the creation of an artificial pancreas. We are also interested in measuring additional parameters, such as heart rate, movement, hormones, ketone bodies, and lactate to enable patient-specific diagnosis and treatment. Another focus of our research is the development of smart algorithms for existing sensing technologies.

Current Projects