Presented by: 
Peter Kim (Sydney University)
Mon 31 Oct, 2:00 pm - 3:00 pm
Mansergh Shaw building (45), room 204

We develop ordinary differential equation and partial differential equation models based on experiments with engineered anti-cancer viruses that have caused substantial reduction in growth rates of tumors in mice.


By fitting time-series data of tumor growth to our ODE models, we attempt to elucidate the underlying cancer-virus and cancer-immune dynamics to clarify the strengths and limitations of oncolytic virotherapy combined with dendritic cell vaccines.  Using modeling, we consider how different treatment strategies can be used to (1) rapidly kill the tumor with a goal of complete elimination or (2) maintain the tumor long-term at low levels.