12 citations · 13 across the 6 of their papers we have counts for
8 papers
Index analysis: an approach to understand signal transduction with application to the EGFR signalling pathway
Jane Knöchel, Charlotte Kloft, Wilhelm Huisinga
In systems biology and pharmacology, large-scale kinetic models are used to study the dynamic response of a system to a specific input or stimulus. While in many applications, a de…
Three-component contour dynamics model to simulate and analyze amoeboid cell motility
Daniel Schindler, Ted Moldenhawer, Carsten Beta +2
Amoeboid cell motility is relevant in a wide variety of biomedical applications such as wound healing, cancer metastasis, and embryonic morphogenesis. It is characterized by pronou…
Spontaneous transitions between amoeboid and keratocyte-like modes of migration
T. Moldenhawer, E. Moreno, D. Schindler +5
The motility of adherent eukaryotic cells is driven by the dynamics of the actin cytoskeleton. Despite the common force-generating actin machinery, different cell types often show…
A continued learning approach for model-informed precision dosing: updating models in clinical practice
Corinna Maier, Jana de Wiljes, Niklas Hartung +2
Model-informed precision dosing (MIPD) is a quantitative dosing framework that combines prior knowledge on the drug-disease-patient system with patient data from therapeutic drug/…
Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
Niklas Hartung, Martin Wahl, Abhishake Rastogi +1
The characterization of covariate effects on model parameters is a crucial step during pharmacokinetic/pharmacodynamic analyses. While covariate selection criteria have been studie…
Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology
Corinna Maier, Niklas Hartung, Charlotte Kloft +2
Model-informed precision dosing (MIPD) using therapeutic drug/biomarker monitoring offers the opportunity to significantly improve the efficacy and safety of drug therapies. Curren…
Analysis of protrusion dynamics in amoeboid cell motility by means of regularized contour flows
Daniel Schindler, Ted Moldenhawer, Maike Stange +4
Amoeboid cell motility is essential for a wide range of biological processes including wound healing, embryonic morphogenesis, and cancer metastasis. It relies on complex dynamical…
Bayesian data assimilation to support informed decision-making in individualised chemotherapy
Corinna Maier, Niklas Hartung, Jana de Wiljes +2
An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model-based predictions of therapy outcomes. Current Bayes…