Artur C. Fassoni

This paper develops a minimal mathematical model to predict treatment-free remission in chronic myeloid leukemia using leukemic fitness, and proposes adaptive therapy strategies based on this parameter.

The paper uses stochastic models to analyze clonal data from non-human primates, showing that HSC heterogeneity and quiescence are critical for long-term hematopoiesis.

This paper develops a mathematical model to study how healthy B-cells affect CAR-T cell therapy outcomes in B-cell cancers, showing their variable impact based on patient-specific factors.

This paper develops deterministic and stochastic models to analyze the design and stability of adaptive therapy cycles for cancer treatment.

The paper develops a mathematical model to analyze the timeline of CAR-T cell therapy and macrophage-mediated cytokine release syndrome, identifying key mechanisms and parameters influencing treatment outcomes.

This paper develops a model integrating tumor-immune dynamics to predict treatment-free remission in CML patients using time-course data on NK cells and tumor load.

The paper uses a mathematical model to classify CML patients based on immune response dynamics following TKI dose alterations, identifying different mechanisms for achieving treatment-free remission.

This study uses ODE models to analyze immune-leukemia interactions in CML treatment, showing that qualitative criteria outperform quantitative ones in identifying biologically relevant models.