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Cecilie Mondrup Jacobsen is a PhD student at the University of Southern Denmark, focusing on early detection of lung cancer in high-risk patients. Her research involves the development of risk-based machine learning models and the identification of relevant biomarkers. Jacobsen has actively participated in various projects aimed at improving health outcomes through advanced statistical methods and predictive modeling. Her work seeks to contribute valuable insights to the field of cancer research, emphasizing the importance of personalized medicine and the application of cutting-edge technologies in monitoring and diagnosis.
University of Southern Denmark • Odense, Denmark
Conducting research on cancer detection and machine learning applications.
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