Smartphone fitness apps and wearable activity trackers do help boost physical activity levels, finds a review and pooled data analysis of the available evidence.
CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing."
Researchers have developed a wireless sensor that monitors the health of the baby's brain in a simple, inexpensive and comfortable way for the child.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
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.
A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
Engineers have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat.
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.
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
Commercially available app-based technology now makes early detection of lymphedema easier, allowing for proactive treatment.
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute.
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.