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AI-driven mapping of organ-specific biomarkers of aging for personalized risk stratification
Funding line:
Else Kröner Excellence Fellowships
Lisa Adams develops AI methods for automated MRI and CT analysis to estimate organ-specific biological age and enable earlier detection of individual health risks.
(© Lisa Adams, TUM Klinikum )
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.
Further information: https://www.ias.tum.de/ias/adams-lisa/