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Bijona Troqe is a PhD student at Linköping University focusing on artificial intelligence (AI) decision-making in healthcare. Her research aims to highlight the opportunities and implications of AI on future decision-making processes, particularly in complex contexts where human-AI collaboration is essential. Troqe's work is part of the national WASP-HS initiative and the NICER research group, addressing how organizations can adapt to unprecedented societal shifts and the need for faster, more purposeful decisions. Her empirical research dives into diverse applications of AI, including personalized medicine, breast cancer screening, and pharmaceutical development for heart failure readmission. Troqe is also involved in various academic councils, serving as the Chairperson of the LiUPhD board for 2025/2026 and a PhD representative in multiple academic bodies within Linköping Science Park. Through her studies, she explores the transformative role of AI in decision-making processes, aiming to clarify the balance between technology and human input.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.