Joost B. Beltman

This paper develops a Bayesian-based model using in vitro data and continuous variables to predict liver fibrosis by analyzing key markers of hepatic stellate cell activation.

This study uses live cell imaging to analyze NRF2 activation dynamics in response to repeated electrophile exposure, showing that recovery periods enable adaptive responses.

The paper develops a mathematical model to study how DNA damage affects cell cycle progression, finding that polyploidisation is a key response in HepG2 cells.

The paper develops a mathematical model showing bidirectional crosstalk between EMT and IFNγ-induced PD-L1 expression, revealing how they influence tumor progression and immunotherapy resistance.

H5CellProfiler is an R package that enables user-friendly analysis of large single-cell datasets on a local desktop with efficient memory usage and track labeling.

This study investigates how cancer cell density affects migration speed and persistence in TNBC cells using experimental data and computational modeling.

The paper models clonal dominance in tumor cells by showing that varying division rates, not stem cell properties or random growth, lead to clonal dominance in vitro.