Tim Ricken's KTH Solid Mechanics KEYNOTE seminar "The Digital Liver Twin: An AI-Powered Multiscale In Silico Model of Function, Perfusion, and Structure"

Tim Ricken April 17 2025.pdf (pdf 306 kB)

Abstract. The digital liver twin is a virtual, AI-supported numerical model that mirrors the human liver’s structure, function, and blood flow. Continuously updated with patient-specific data and medical imaging, it enables ‘real-time‘ simulations to predict how lifestyle changes or medical interventions may affect liver health. By digitally replicating not only the liver but also essential interconnected organs—such as the heart, lungs, kidneys, and the circulatory and digestive systems—the model provides a holistic view of physiological interactions. Developed within an interdisciplinary research team, the digital liver twin aims to support clinical decision-making, particularly in complex cases like tumour resections or liver transplants. It reduces uncertainty by simulating potential outcomes tailored to individual patients. At the same time, it empowers patients to better understand the long-term impacts of their lifestyle choices on liver function and overall health.