Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
MC 6460
Brydon Eastman | Applied Math, University of Waterloo
Machine Learning Techniques in Mathematical Oncology
Cell signaling 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, methods of cell signaling, and nutrient fields. All these factors influence the proliferation and invasive potential of a cancerous tumour. We propose, and investigate, a selection of models that utilise partial differential equations, stochastic processes, and machine learning in hybrid techniques. The processes proposed seek to use machine learning in the context of artificial neural networks to identify cancer stem cells via image flow cytometery, to act as decision making units in cellular automata simulations of cancer stem cells, and to perform sensitivity and bifurcation analysis on bio-systems in mathematical oncology.
Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.