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# 2025 Needleless Glucose Monitor |
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This project introduces a wearable, needleless glucose monitor that uses radar and metasurface technology to detect glucose levels beneath the skin without pain or consumables. A compact millimetre-wave radar module enhanced by a programmable metasurface focuses energy into tissue, detecting glucose-related dielectric changes with high sensitivity. AI algorithms translate these signals into real-time metabolic data. Designed for wrist-worn devices, the system enables continuous, accurate, and comfortable glucose monitoring, offering a breakthrough alternative to finger-prick tests
Veronica is currently pursuing a Master of Applied Science in Electrical and Computer Engineering at the University of Waterloo, under the supervision of Professor George Shaker. She holds a Bachelor of Applied Science in Mechanical Engineering from the same institution. Her research focuses on minimally invasive biosensing technologies, with an emphasis on the integration of optical and radar systems for biomedical applications. Veronica has previously gained industry experience through internships at Apple and Meta, where she contributed to the development of next-generation wearable devices as part of their hardware systems engineering teams.more
Delft University of Technology – TU Delft
AI-assisted cervical screening for early cancer detection in low-resource settings
