In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Blood glucose monitoring is an essential aspect of disease management for individuals with
diabetes. Unfortunately, traditional methods require collecting a blood sample and thus are …

Past studies on how blood glucose levels vary across the menstrual cycle have largely
shown inconsistent results based on limited blood draws. In this study, 49 individuals wore a …

Being able to see into walls is crucial for diagnostics of building health; it enables
inspections of wall structure without undermining the structural integrity. However, existing …

Diabetes Mellitus incidence and its negative outcomes have dramatically increased
worldwide and are expected to further increase in the future due to a combination of …

We present Apollo, a self-powered wireless biochemical system that is wearable and can
continuously monitor personal health states. It has three key enablers. First, we design an …

As an application of fine-grained wireless sensing, RF-based material identification follows
the paradigm of RF computing that fetches the information during RF signal propagation …

Wireless sensing builds upon machine learning shows encouraging results. However,
adopting wireless sensing as a large-scale solution remains challenging as experiences …

Periodic quantification of blood glucose levels is performed using painful, invasive methods.
The proposed work presents the development of a noninvasive glucose-monitoring device …

To track vital signs on the wrist, a wearable system, named WrisTee, has been developed for
remote health monitoring. Using three optical sensors with four light sources, WrisTee allows …