Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
By analyzing Fitbit data and self-reported symptoms, researchers analyzed trends in heart rate, step count, and symptom duration between patients with flu and those with COVID-19.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Xsensio has been awarded CHF 1.8 million in EU funding to adapt its Lab-on-Skin sensing patches so that they can detect when a viral illness like the flu or COVID-19 is about to get worse.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
An IoT system that allows geneticists, nutritionists, clinicians and exercise physiologists to work together remotely encourages middle-aged and elderly people to train using Interval Walking Training.
A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
Bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time through a smartphone app.
Engineers have designed a thin adhesive film that could upgrade a consumer smartwatch into a powerful health monitoring system.
A new app that helps patients in self-isolation monitor for symptoms of COVID-19 and identify their mental health needs has been developed.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
Commercially available app-based technology now makes early detection of lymphedema easier, allowing for proactive treatment.
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.