Institut des Nanotechnologies de Lyon

Non-Invasive Blood Glucose Monitoring Using Machine Learning and Optical Approaches: A Systematic Literature Review and a Proposed Framework for Reproducible and Clinically Reliable Research

Diabetes Mellitus is the leading healthcare challenge. For effective management of this disease, patients need to check their blood glucose levels regularly; however, the standard method of taking a drop of blood and placing it on a test strip does not allow for continuous monito...

Reflector‐Free, Highly Confined Love‐Like SAWs Enabled by a Phononic Metasurface for Real‐Time Monitoring of Cell Dynamics

ABSTRACT Surface acoustic wave (SAW) devices are widely used in sensing and biosensing but generally suffer from strong attenuation in liquid environments. Conventional approaches rely on reflectors to reduce these losses, yet these components remain difficult to optimize: limite...