Projects
- ATLAS
AI and Simulation for Tumor Liver ASsessment (ATLAS)
- SimLivA
SIMulation-supported LIVer Assessment for donor organs (SimLivA)
- QuaLiPerF P7
Modeling of function-perfusion-deformation interaction on liver lobules and cellular scale
Our Research
The Digital Liver Lab (DiLiLab) develops advanced computational models of the liver to better understand its structure and function across multiple scales. The team combines continuum-biomechanical modeling of the liver lobules with systems biology at the cellular level and considers blood pressure dynamics at the organ level. Data-driven surrogate modeling further enhances the predictive power of these approaches.
The Challenge
The liver is the central metabolic organ of the human body, responsible for maintaining metabolic balance, detoxifying harmful substances, and storing energy. Its functionality depends strongly on blood perfusion through the smallest sub-units, the lobules. Disorders such as steatosis, cirrhosis, or tumors, as well as surgical interventions like resections or transplantations, can disrupt this perfusion and impair liver function. Because the processes span from the whole organ down to individual cells, it is extremely difficult to study them in detail with conventional experimental models.
Our Approach
To address this complexity, DiLiLab uses a multiscale and multiphase modeling framework based on the Theory of Porous Media. At the organ level, perfusion and blood pressure are simulated. At the lobule level, the anisotropic blood flow through sinusoids is modeled. At the cellular level, ordinary differential equations describe metabolic processes in hepatocytes. This continuum-mechanical formulation links the macro (organ), meso (lobule), and micro (cell) scales to provide an integrated description of liver physiology.
Focus on the 3Rs
These numerical models provide a non-invasive and patient-specific way to analyze liver function, disease progression, and treatment options. By replacing animal models with in silico simulations, DiLiLab contributes to reducing animal experimentation while still enabling detailed investigation of complex liver processes. The models also help refine clinical strategies by allowing virtual testing of therapies and surgical procedures before they are applied in patients.
- SimTech PN2-2
Data- and Model-Driven Multiscale Simulation of Tumor Growth in Liver Cell, Tissue and Organ
News
- Publication: Onco*: An umbrella Python framework for modelling and simulation of oncological scenarios.
- Publication: Quantifying fat zonation in liver lobules: an integrated multiscale in silico model combining disturbed microperfusion and fat metabolism via a continuum biomechanical bi-scale, tri-phasic approach
Our Expert
Tim Ricken
Univ.-Prof. Dr.-Ing.Head of Department