Machine learning (ML) to model the liver biomechanical behaviour during breathing. ML is much faster than the popular FEM, allowing real-time soft tissue modelling. Modelling scheme able to predict deformation for a new load and a new liver. ML regression models were used: three tree-based methods and two simpler ones. Good prediction performance was obtained: all samples with an error under 1 mm.