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Tanja Fredensborg Holm is focused on improving management practices related to prediabetes through clinical practice development, with an emphasis on new approaches for detection and treatment. Her primary aim is to create an explainable, data-driven algorithm that can identify individuals at risk of prediabetes using easily accessible risk factors and laboratory measurements. This approach is intended to simplify the screening process and enhance the early identification of individuals who may benefit from intervention in a cost-effective manner. Additionally, Holm is exploring digital health-based lifestyle interventions as a treatment option for prediabetes, recognizing their potential to support scalable and accessible lifestyle changes that can reduce the risk of progression to type 2 diabetes. Her ultimate goal is to develop a comprehensive strategy that improves the detection and treatment of prediabetes, thereby enhancing clinical practice and contributing to evidence-based solutions that promote long-term health outcomes. In her teaching role, she primarily supervises master’s students and medical students in Clinical Science Technology while using problem-based learning approaches in public health projects.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.