375

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Issue 375: The use of oncolytic viruses as cancer treatment has received considerable attention in recent years, however the spatial dynamics of this viral infection are still poorly understood. In this work, we compare probabilistic, individual approaches with continuous, spatially inhomogeneous models and investigate the importance of different tumour motility and different mathematical representations of viral infectivity. Persistent oscillations as the ones shown in the artwork are only possible when the viral population is explicitly modelled. The rich spatiotemporal structures observed in deterministic oncolytic virotherapy models has been recently linked to the complex Ginzburg-Landau amplitude equation (https://doi.org/10.3389/fams.2026.1774485). On the other hand, this artwork shows that the stochasticity further enhances the formation of highly dynamic patterns.