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Researchers at DTU Health Tech have developed an app that recommends personalized activities to help patients with depression feel better through healthy activities...
In collaboration with Rigshospitalet, researchers from DTU Health Technology have developed a machine learning model that can predict chemotherapy-associated nephrotoxicity...
The Copenhagen Center for Health Technology have launched a new app for collection of respiratory data. This is to be used for building artificial intelligence approaches...
On 11 October, the European Research Council (ERC) awarded new ERC Synergy grants. DTU participates in two of these, which have each been granted more than DKK 70 million...
A recent study shows the feasibility of using wearable and mobile technology for dementia monitoring over extended periods and in people everyday life.
Mapping patients’ genetic make-up could lead to better treatment for a wide range of diseases.
Artificial intelligence and big data are building blocks in the development of personal health technologies.
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...
Genetic data combined with new knowledge about the genetic make-up of gut bacteria opens the door to personal dietary recommendations.