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Applications of the growing Big Data, Machine/Deep Learning, and Artificial Intelligence fields show the potential impact and importance of these fields for solving real...
One of the largest studies of depression and bipolar disorder involving more than 120 patients have shown, that mood changes can be predicted with a very high accuracy...
A recent systematic review of more than 3500 scientific publications has investigated whether these many studies agree on the relationship between depressive symptoms and...
Physical activity, sleep and cognitive function: Clinical pilot study on crowd-sourced mHealth for cognitive rehabilitation
The research group of Health Informatics and Innovation published an instrument and a toolkit to assess users´digital health literacy.
Society demands technological solutions to many of the major health challenges we are facing now and in the future. DTU has the research and technological expertise to...
The CACHET PhD project InstaPatch has received funding from Independent Research Fund Denmark. This funding will be used to further expand the project with an additional...
A smart patch that can measure movement patterns in Parkinson's disease was awarded the first place in DTU Skylab's Open Innovation X final.
The Copenhagen Center for Health Technology (CACHET) have released the "CACHET in Profile 2018" report, which reports on research, research training, innovation in society...
CACHET er kommet med en lang række input til det seneste nummer af Lægemiddelindustriens (LIF) medlemsblad "med."