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Ulf Ekelund is a Professor in Emergency Medicine at Lund University, where he leads research initiatives aimed at enhancing patient care through improved diagnostics and decision support systems. His work is characterized by a strong focus on utilizing artificial intelligence and machine learning to refine risk stratification processes for conditions such as acute coronary syndrome and improving emergency department throughput. Ekelund has also been involved in multiple collaborative projects with clinical physiologists and cardiologists, aimed at advancing the operational efficiency and clinical outcomes within emergency medicine. His contributions embrace a diverse range of research interests, aligning with various UN Sustainable Development Goals, particularly in health sciences. Ekelund is actively supervising a number of doctoral students and has extensive experience in organizing academic workshops and conferences.
Lund University • Lund, Sweden
Leading research in emergency medicine and supervising doctoral students.
Includes Master of Science in Politics and Society of the Contemporary Middle East and European Affairs.