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Sam Polesie is an associate professor and adjunct senior lecturer in the Department of Dermatology and Venereology at the University of Gothenburg. He leads a research group focused on skin cancer, emphasizing epidemiology and the application of artificial intelligence in image diagnostics. His work includes developing algorithms to differentiate between invasive melanoma and other skin conditions. He holds ALF funding for his research on registry-based prediction models and is known for his involvement as a course coordinator and term examiner for the medical program in dermatology. Polesie's expertise extends to various aspects of dermatological research, including clinical trials and systematic reviews aimed at enhancing skin cancer detection and treatment. His contributions to the field are also reflected in his role as a section editor for Acta Dermato-Venereologica. He actively supervises students and participates in peer reviews, ensuring high standards in dermatology research and education.
University of Gothenburg • Gothenburg, Sweden
Teaching and researching in Dermatology and Venereology, focusing on skin cancer and AI applications.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).