
Diabetes: Computer vision app allows easier monitoring
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
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.
Researchers at Duke University have engineered a workaround to make ventilators safer and more efficient when splitting them between patients.
A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
A study showed that patients receiving messages from a chatbot used fewer opioids after fracture surgery, and their overall pain level fell, too.
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.
Self-quantifying may better the understanding of our individual health, but also gives rise to anxiety.
Bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time through a smartphone app.
Computer science students designed an Android application, which helps to identify the signs of sleep apnea at home.
Engineers have designed a thin adhesive film that could upgrade a consumer smartwatch into a powerful health monitoring system.
Researchers, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels.
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases.
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 have developed a way to use smartphone images of a person's eyelids to assess blood hemoglobin levels, a protein in red blood cells.
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.
Researchers have designed and developed three digital games to help children and adults improve their cognitive skills.
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.
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
Cardiologists performed a research project during a large music festival called Lowlands, in the Netherlands in August 2019.
At the start of 2019 the EU project ELSAH began with the objective of designing a wearable within four years that enables the continuous determination of biomarker concentrations.
Researchers at the Fraunhofer Application Center SYMILA have developed a prevention app called BAYathlon that is designed to help detect a specific form of cardiac arrythmia at an early stage.
Using blockchain, researchers have developed a prototype of an app that may potentially prescribe the optimal dose of medicine for the individual patient, as well as prevent counterfeit products.
Transdermal optical imaging measures blood pressure by detecting blood flow changes in smartphone-captured facial videos.
Digital games, typical of those on smartphones, may relieve stress more effectively than mindfulness apps, a new study shows.
New research suggests that the 'BlueIce' app developed at University of Bath could have a significant impact in reducing self-harm in young people.
Analysing fertility awareness apps, researchers have been able to track behavior patterns and accuracy in measuring menstrual health and ovulation.
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
The PCC Game app being launched offers a virtual journey for greater knowledge and with tricky questions along the way.
Researchers have created a mobile application, which helps recognise early symptoms of a rare Huntington's disease.
Researchers have created a new app that can detect fluid behind the eardrum by simply using a piece of paper and a smartphone’s microphone and speaker.
Researchers have have developed a multifaceted measuring technology that is able to detect a number of conditions in the human body.
Researchers studied gaming data from the mobile game and found out that it can detect people at risk of Alzheimer’s.