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THE NOVO NORDISK FOUNDATION GRANTS DKK 49.6M TO RESEARCH IN KNEE OSTEOARTHRITIS

THE NOVO NORDISK FOUNDATION GRANTS DKK 49.6M TO RESEARCH IN KNEE OSTEOARTHRITIS

Professor Lars Arendt-Nielsen and Associate Professor Kristian Kjær Petersen, Department of Health Science and Technology will lead the pain research in the project.

Last modified: 16.06.2021

The Novo Nordisk Foundation has just published this year’s grants in their ambitious Challenge Program with the 2021 theme of “Mathematical Modelling of Health and Disease”. Michael Skipper Andersen, Department of Materials and Production, Aalborg University (AAU) is among the awardees. Professor Lars Arendt-Nielsen and Associate Professor Kristian Kjær Petersen, Department of Health Science and Technology will lead the pain research in the project.

The group of collaborating researchers from University of Eastern Finland, Lund University, Department of Materials and Production, and Department of Health Science and Technology, AAU aim to develop a mathematical model for personalized treatment of knee osteoarthritis. The model will enable computer-based investigations to map the outcomes of various treatment options and thereby be able to offer optimized and personalized treatments for patients in the future.

-  We have an in-depth knowledge which will strengthen the research and our collaboration across institutions, disciplines and researchers. In this project, we will utilize our research on advanced pain sensory profiling to generate - the first ever - mathematical models incorporating central pain mechanisms related to knee osteoarthritis, Kristian Kjær Petersen, Associate Professor explains. 

The research project starts in January 2022 and will employ more than 20 international PhD students and postdocs.

The pain research in the project builds upon on decades of research within pain science performed at the Department of Health Science and at the department’s Center for Neuroplasticity and Pain.

As a subproject, researchers from the Department of Health Science and Technology aim to develop a model for modulation of pain for predicting pain after surgery.