Radiotherapy (RT) efficacy in solid tumours is critically shaped by the microvascular environment (MVE); hypoxic niches confer radioresistance, while RT-induced phenotypic selection enriches residual tumours in cancer stem cells (CSCs), driving recurrence. We present a multiscale computational framework integrating three components: (i) a phenotype-structured PDE model for tumour cell dynamics...
Human cancers are biologically and morphologically heterogeneous, exhibiting complex spatiotemporal dynamics during tumor growth. Imaging with positron emission tomography (PET) enables visualization of metabolic activity and its intratumor heterogeneity.
Using continuous and discrete mathematical models of tumor growth, we showed that the location of the metabolic activity hotspot drifts...
Chimeric antigen receptor (CAR) T cell therapy has transformed the treatment of certain haematological malignancies, yet relapse and primary resistance remain common. Although CAR T cells circulate systemically, their ability to activate, persist and eliminate target cells varies across tissues, suggesting that microenvironmental context plays a key role in therapeutic outcome.
Understanding...
Glioblastoma (GBM) is the most common and lethal brain cancer. It has a dismal prognosis with a 5-year survival rate of 6.8% \cite{stankovic2021vitro}. It remains one of the most challenging malignancies due to its high intratumoral heterogeneity and the ability of cancer cells to adapt to harsh microenvironmental conditions. This adaptive response is primarily driven by hypoxia, which...
Integrating multimodal datasets in clinical oncology is frequently hindered by high dimensionality and blockwise missingness, where entire data sources are unavailable for specific patient subsets. Standard survival models often struggle with these gaps, leading to biased results or patient exclusion.
We introduce Multimodality Stacking with Blockwise missing values (MSB), a late-fusion...
Acute myeloid leukemia (AML) evolves through stochastic and interconnected changes in cell differentiation, clonal composition, and immune response, revealed through longitudinal multi-genomic profiling. We present a stochastic modeling framework in which a Langevin equation describes noise driven fluctuations in genomic states in a mouse model of AML. These dynamics are embedded within a...
A growing body of experimental and clinical evidence indicates that intermittent fasting can exert beneficial effects in cancer prevention and therapy. Preclinical studies consistently show that fasting cycles can slow tumor growth, enhance tumor cell sensitivity to chemotherapy and radiotherapy, and protect normal tissues. Early-phase clinical trials further suggest that intermittent fasting...
Personalized forecasting in oncology requires models that are both mechanistically interpretable and effective with limited data. I will present recent unpublished results on predicting treatment response in mouse tumor models using a library of mechanistic growth and treatment models, including 1D formulations (exponential, logistic, weak Allee, strong Allee, and piecewise exponential growth)...
Cancer is a highly heterogeneous disease group characterized by diverse biological mechanisms, interactions, and evolution across multiple spatial and temporal scales. Advances in imaging, omics, and clinical biomarkers have enabled improved characterization of tumor behaviors from molecular to tissue scale at diagnosis, during disease monitoring, and for treatment selection. However, these...
