PhD Comprehensive Seminar | Brydon Eastman, Machine Learning in Cellular Automata Models of Invasive Solid Tumours

Wednesday, October 17, 2018 2:30 pm - 2:30 pm EDT (GMT -04:00)
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MC 6486

Speaker

Brydon Eastman | Applied Math, University of À¶Ý®ÊÓƵ

Title

Machine Learning in Cellular Automata Models of Invasive Solid Tumours

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Cell signalling in early tumour development is crucial to the geometry of the invading solid tumour. This complex process is impacted by numerous factors in the cellular micro-environment including the presence of cancerous stem cells, chemotactic agents, and oxygen concentration. All these factors influence the proliferation and invasive potential of a cancerous tumour. We investigate a selection of models that utilise partial differential equations, stochastic processes, and machine learning in hybrid techniques.