Loïc Ysebaert

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

This paper develops a 3D polyelectrolyte complex scaffold with a specific cell seeding method for liquid cancer drug screening, showing improved cell retention and viability.

This study identifies CD20 as an actionable target in B-ALL MRD using PDX models and single-cell RNA sequencing, showing anti-CD20 antibodies can eradicate drug-resistant cells.

This paper develops a method to isolate and characterize SMAPs from NK-92 cells, showing their cytotoxic activity against tumor cells in vitro and in vivo.

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.

This study shows CLL cells acquire FOLR2 from nurse-like cells via trogocytosis, enhancing their survival and proliferation in vitro.

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.