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Amelie Lange is a PhD student at the Technical University of Denmark (DTU) focusing on socially sustainable algorithms and their implications within chronic pain management. Her research involves synchronizing multiple temporalities of care in the context of the Danish welfare state, emphasizing the application of vigilant algorithms in optimizing pain treatment pathways. She actively engages in conferences, presenting her findings on risk scoring methodologies and the challenges present in opioid prescribing practices. Lange collaborates with esteemed supervisors in her field, contributing to projects that address the intersection of technology and healthcare. Her work critically examines how data and algorithms can be utilized to enhance chronic pain care, highlighting the importance of a thoughtful approach to technological integration in clinical settings.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.