We are researching and developing efficient, non-invasive, and privacy-preserving technologies in select medical and health domains. This includes distributed systems for monitoring, collection, filtering, storing, analytics, and visualization of large sets of heterogeneous data from multiple sources, primarily carried out in real-time.
This research undertakes high-impact inter-disciplinary collaboration involving real user cohorts. Our long-term objective is to provide new knowledge, research tools, and innovative disruptive technologies in the convergence space and intersection of computer science, health informatics, law, sport science, and epidemiology. Developing digital solutions helping to understand the healthy human being is key, and this work is organized in the “Corpore Sano Centre“.
Cohorts of elite sports athletes are important for this research. Soccer is one of our target domains, and our current focused attenton involves gender specific aspects since gender-differentiated development, conditioning, and recognition of elite soccer athletes have received relatively little attention from the international research community.
Our research contributes to the UiT “Female Football Centre” that intends to obtain new and fundamental insights and knowledge on highly relevant performance factors that influence sustainable development and health of female elite football athletes.
We are also involved in the inter-disciplinary strategic project “High North Population Studies” (High NoPos) at UiT The Arctic University of Norway. Our mission is to work with our numerous partners to increase the trustworthiness and effectiveness of new digital tools for data collection and analysis in population studies, and to test personalized intervention technologies to prevent disease.
We are also involved as one of many close collaborators in studing digital technology applied in clinical medicine. Of particular merit is novel technology innovations in gastrointestinal screening. This research has resulted in several open datasets published, for instance, the worlds largest image and video dataset from the gastrointestinal tract available today.