Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
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.