Malvina Marku

This paper develops a multiscale framework linking pharmacokinetics and Boolean models to study ibrutinib resistance in CLL, identifying key regulons and synergistic targets.

The paper uses time-series RNA-Seq and gene regulatory network inference to study how CLL cells respond to immune signals in vitro, revealing dynamic regulatory mechanisms and patient-specific gene modules.

The paper develops an agent-based model to simulate monocyte differentiation into nurse-like cells in chronic lymphocytic leukemia and identifies patient-specific macrophage phenotypes linked to cancer survival.

The paper builds a Boolean model to simulate macrophage polarization in an in-vitro chronic lymphocytic leukaemia model, revealing the formation of tumour-associated macrophages.