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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We will use machine learning methods on large survey and health register data in order to identify people with different treatment trajectories and health outcomes after surgical and/or conservative treatment for spinal disorders.
Brain activation during gait and balance
The human body is a biological marvel in many ways. A seemingly simple and everyday characteristic that tends to be overlooked is bipedality, which results from a complex stability and balance system that enables humans to stand, walk, and run.
Co-occurrent pain and psychological distress: From adolescence to adulthood
The project will use population-based data from four cross-sectional databases (SHoT, Young-HUNT1, Young-HUNT3 and Young-HUNT4) linked with prospectively collected data from national administrative and health registries.
Development of a less polluting, automated façade system connected to the building management system
An innovative project offering a CO2-reducing, remote façade maintenance system that will contribute to green change both nationally and internationally.
The project aims to give more women access to technology, digital skills and leadership positions. The ambition is also to promote justice and equality, as well as build capacity through multilateral partnerships and create smart, sustainable and inclusive social innovation ecosystems in local communities in the Global North and South.
FeLT- Futures of Living Technologies
From a perspective of ecological crisis, FeLT- Futures of Living Technologies, engages in the relations and intersections that occur between human beings, living environments and machines, relations on the edge of how we experience aliveness today.
HYPERION will produce a comprehensive tool to assess the threats of climate change in tandem with other natural hazards to cultural heritage sites.