Learning-accelerated Discovery of Immune-Tumour Interactions [article]

Jonathan Ozik, Nicholson Collier, Randy Heiland, Paul Macklin
2019 bioRxiv   pre-print
We present an integrated framework for enabling dynamic exploration of design spaces for cancer immunotherapies with detailed dynamical simulation models on high-performance computing resources. Our framework combines PhysiCell, an open source agent-based simulation platform for cancer and other multicellular systems, and EMEWS, an open source platform for extreme-scale model exploration. We build an agent-based model of immunosurveillance against heterogeneous tumours, which includes spatial
more » ... namics of stochastic tumour-immune contact interactions. We implement active learning and genetic algorithms using high-performance computing workflows to adaptively sample the model parameter space and iteratively discover optimal cancer regression regions within biological and clinical constraints.
doi:10.1101/573972 fatcat:ftdxzyzuungu3lij5hmdmcktk4