08.05.2019A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult to spot and often overlooked in young people, according to new research published in the Journal of Biomedical and Health Informatics.
01.06.2018These days, smartphones and wearables of all kinds more or less "incidentally" collect lots of personal data about our lives. Many people have privacy and security concerns – and rightfully so – especially if mountains of data fall into the wrong hands. But what if patients collect their own data and get help to use it for their own purposes?
01.06.2018The number of people suffering from depression worldwide is steadily increasing – as is the digitization in all areas of life. There is a wide variety of applications designed to make it easier to cope with this disorder. However, patients have to provide very sensitive information when they use these digital therapists. And in doing so, they often divulge more than they realize.
01.06.2018Few diseases are as difficult to diagnose as depression. What's more, outsiders often don't perceive it as a disease. The reason for this are symptoms that are not directly visible. Sufferers of the disease tend to experience fear, worry, and despair in everyday life, when no doctor is present. This is the starting point for telemedicine tools such as online programs or smartphone apps.
01.06.2017Movement is good for health, but people do it less and less as they age. The Dutch company SilverFit wants to counteract this. Their devices that combine sport and game are primarily aimed at elderly people. Their goal: to give people joy, fun and motivation to move – both in rehabilitation and in daily life.
02.01.2017When children suffer from a critical or terminal illness, the first impulse of adults is often to not tell the children and sugarcoat the situation. Yet it is just this type of behavior that frequently causes children to emotionally withdraw.