Head of Section: Jakob Eyvind Bardram
The Digital Health section researches digital technologies for health, healthcare, life science, and society, in order to enhance the efficiency of healthcare delivery and make healthcare more personalized and precise. As an interdisciplinary scientific discipline, Digital Health involves the use of information and communication technologies to address the health problems and challenges faced by patients and society in general.
The section works with a wide range of both hardware and software technologies, including wearable medical devices, biomedical signal processing, brain-computer interfaces, human-computer interfaces, artificial intelligence, machine learning, mobile & wearable sensing, personalized health technology, telemedicine, remote health monitoring, clinical support systems, and large-scale health data science infrastructures for collection, management, and analysis of health and well-being data.
The section addresses advances in diagnostics, treatment, and monitoring of a wide range of health and well-being domains, including psychiatry (e.g., depression and bipolar disorders), cognitive declined (e.g., dementia), neurological disorders (e.g., epilepsy and Parkinson's), cardiovascular diseases, and diabetes.