Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Researchers have developed a way to harvest energy from radio waves to power wearable devices.
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.