[01172] Spatio-structural partial differential equation (PDE) modelling for single-cell cancer data
Session Time & Room : 2D (Aug.22, 15:30-17:10) @E709
Type : Contributed Talk
Abstract : Melanoma routinely develops resistance to targeted therapies, leading to unfavourable prognosis for patients. We introduce a novel approach to modelling single-cell RNA-seq data obtained from melanoma tumours, using partial differential equations (PDEs) to represent the tumour as a spatio-structural population. We show how non-spatial data can be used to predict spatially heterogeneous distributions of cell types, within the tumour, and explore combination therapies and treatment strategies to overcome traditional patterns of resistance.
