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AI-driven mapping of organ-specific biomarkers of aging for personalized risk stratification

Institution: Institute of Diagnostic and Interventional Radiology, TUM Klinikum Rechts der Isar, Technical University of Munich (TUM).
Applicant: PD Dr. Lisa Adams
Funding line:
Else Kröner Excellence Fellowships
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Lisa Adams and her team are investigating how rapidly individual organs age. They use MRI and CT scans to determine the biological age of the liver, kidneys, spleen, pancreas, and muscles. With the help of reference values from population-based studies, they identify deviations that may indicate an increased risk of disease or reduced resilience. Based on the clinical data, the researchers will explore whether these organ-specific aging markers can predict complications, treatment outcomes, and the duration of hospital stays more accurately than chronological age. The models developed will be made available as open-source software.