News from the Editors -- MEDICA - World Forum for Medicine

MEDICA Newsletter

Social Media

Image: depiction of a brain; Copyright: Pixabay

AI detecting post-stroke depression can help to get right treatment

17/12/2020

An AI developed by Japanese researchers might soon help stroke survivors get the right treatment by detecting a patient’s post-stroke depression (PSD) type, a frequently seen but often overlooked neuropsychiatric manifestation after a stroke that could impair functional recovery.
Read more
Image: Man with mobile phone sitting on the floor in front of a sofa; Copyright: panthermedia.net/yacobchuk1

From data to diagnosis – digital help for depression

01/06/2018

Few 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.
Read more
Image: hand holding a smartphone in front of a desk with computer; Copyright: panthermedia.net/ikurucan

Digital therapist – data protection for depression apps

01/06/2018

The 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.
Read more
Image: A woman is looking at her smartphone in bed. She looks tired and exhausted; Copyright: panthermedia.net/leungchopan

The STEADY project: Managing depression with wearables

01/06/2018

These 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?
Read more