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Trained as a physicist with a PhD in biophysics from The Institute of Cancer Research, London, she works at the interface of computational biology, machine learning, and mathematical modeling to develop data-driven tools for personalized cancer care, with a particular focus on pediatric oncology and radiotherapy. Her research combines multi-omics, medical imaging, and digital pathology to better understand and predict tumor dynamics and treatment outcomes, especially in diffuse midline glioma.
Intervenants
Sarah Brüningk (Assistant Professor at the Center for AI in Radiation Oncology at the University Hospital Bern (Inselspital) and University of Bern)
Lieu
Meeting room (roomC-P-423) of the Radiation Oncology Service.
53 Avenue de la Roseraie- Genève
Entrée
Gratuite
Contact
marie-catherine.vozenin@unige.ch