Tumors are complex systems dominated by large numbers of processes with highly nonlinear dynamics spanning a wide range of dimensions. Mathematical modeling can provide a rigorous, more precise approach for quantifying correlations between tumor parameters, prognosis, and treatment outcomes. Integration of these elements into a multidisciplinary model of tumor progression would be an important tool to advance clinical decision-making.
SIAM 2010 Life Science
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Multiscale modeling
Cancer is a class of diseases in which a group of cells display uncontrolled growth, invasion, and sometimes metastasis (spread to other locations in the body via lymph or blood). Even though it’s probably the most studied disease in the world, the process of cancer growth is still hard to understand.
Post visualization
Our aim is here to setup tumor framework in terms of modeling and visualization so that the data flow can be tuned to suit the fastest demand of the latest petascale scientific computing in the field of cancer research. Here we define math oncology and we want to help.
Please join us.
