Digital health technologies may support the management and prevention of disease through
personalized lifestyle interventions. Wearables and smartphones are increasingly used to …

Abstract Aims Continuous glucose monitors (CGMs) have expanded their scope beyond
indicated uses for diabetes management and are gaining traction among people not living …

Cardiovascular disorders cause nearly one in three deaths in the United States. Short-and
long-term care for these disorders is often determined in short-term settings. However, these …

Diet monitoring is an important component of interventions in type 2 diabetes, but is time
intensive and often inaccurate. To address this issue, we describe an approach to monitor …

Managing diabetes mellitus (DM) requires monitoring the glucose response to meals, also
known as the postprandial glucose response (PPGR). The PPGR to a meal is significantly …

Managing diabetes requires following a healthy lifestyle, including monitoring dietary intake.
Prior work has shown that meals with different macronutrient composition can have distinct …

With the development of biomedical sensing techniques and data storage, machine learning
has been widely applied to many healthcare applications from the abundance of data …

The utility of machine learning for enhancing human well-being and health has risen to the
core discussion in both research and real-world application in today's technological front …

Automated diet monitoring, an important tool in preventing healthy individuals and those
with pre-diabetes from developing Type 2 Diabetes, requires automatic eating detection and …