Data-driven mechanistic cancer models

9 Jul 2018, 10:30
New Law School/--104 (University of Sydney)

New Law School/--104

University of Sydney



Data-driven mechanistic cancer models: Part A

  • Susan Massey (Mayo Clinic)

Data-driven mechanistic cancer models: Part B

  • Susan Massey (Mayo Clinic)


In recent years, there has been an explosion of multiscale cancer patient data including genomic, metabolomic, proteomic, and histologic (with novel stainings), at the tissue scale and smaller, along with a host of advanced MRI and other clinical imaging sequences at the whole organ scale. While bountiful, the multiscale and spatial sparsity represented with these data types for any individual patient leaves the final interpretation difficult with traditional statistical methods. Mechanistic models provide a framework for exploring how these processes interlink and contribute to tumour growth and evolution. Incorporating this multitude of data into such models remains a challenging and open problem, however, promising results are emerging. The talks in this minisymposium will highlight novel models and approaches to using these new data types in exploring the mechanisms underlying cancer growth and response to therapy.

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