In diesem Semester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 16:00 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.

Metastatic Breast Cancer (MBC) is a complex disease that requires highly personalized treatment strategies, yet clinicians are often overwhelmed by the volume of structural and metabolic data available. This talk introduces an automated, AI-driven pipeline designed to move beyond a "tumor-centric" paradigm. By leveraging state-of-the-art deep learning for organ and tumor segmentation, we extract "meaningful features", such as size-independent heterogeneity indices and systemic physiological markers, to provide a holistic profile of the patient. We will discuss the robustness of various uptake metrics and how body composition analysis can correct traditional clinical "blind spots," paving the way toward a "Patient Digital Twin" in precision oncology.