Stochastic Models of Tumor Progression

Dr. Tibor Antal (Edinburgh University)

Thursday 9th May, 2013 14:00-15:00 Maths 204


Stochasticity is essential when modeling initiation of tumors, progression of tumors from benign to malignant states, or metastasis formation. Many aspects of these phenomena can be modeled by simple multi-type branching processes, and the results compare fairly well to experimental and clinical data. Models of developing resistance to chemotherapy, and modeling challenges related to spatial structure and sizes of tumors will also be discussed. 

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