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A Review of Mathematical and Computational Methods in Cancer Dynamics

Author(s): Uthamacumaran A; Zenil H;

Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks. Understanding the cybernetics of cancer requires the integration of ...

Article GUID: 35957879


Algorithmic reconstruction of glioblastoma network complexity

Author(s): Uthamacumaran A; Craig M;

Glioblastoma is a complex disease that is difficult to treat. Network and data science offer alternative approaches to classical bioinformatics pipelines to study gene expression patterns from single-cell datasets, helping to distinguish genes associated wi ...

Article GUID: 35479408


Cancer: A turbulence problem.

Author(s): Uthamacumaran A

Cancers are complex, adaptive ecosystems. They remain the leading cause of disease-related death among children in North America. As we approach computational oncology and Deep Learning Healthcare, our mathematical models of cancer dynamics must be revised. ...

Article GUID: 33142240


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