Hans‐Michael Kaltenbach

ENKIE predicts KM and kcat enzyme kinetic parameters and their uncertainties using Bayesian Multilevel Models, achieving performance comparable to deep learning methods.

The paper develops a glucose-insulin model to simulate the effects of physical activity on blood glucose in type 1 diabetes, enabling personalized treatment evaluation.

The paper introduces a probabilistic framework for analyzing metabolic networks by integrating thermodynamics and flux constraints, revealing new insights into E. coli metabolism.

The paper introduces a two-stage method to estimate dynamic nonlinear mixed effects models from single-cell time-lapse data, demonstrating accuracy and scalability with yeast endocytosis data.