Organizers:
Heiko Enderling, Alexander R.A. Anderson
Description:
The mathematical oncology subgroup of the Society for Mathematical Biology is growing, reflecting the increasing number of scientific publications on the mathematical modeling of cancer. Cancer models are being developed to answer a diversity of questions, that cover almost every cancer type and stage, including how we might better understand or treat this deadly disease. The specific modelling approach used varies widely, while some models are phenomenological in nature following a bottom-up approach, other models are more top-down data-driven. This two-part minisymposium showcases the breadth of mathematical oncology research from scientists at both Universities and Hospitals at different career stages form around the world to spur discussions and collaborations in the field of mathematical modeling of cancer.
Morgan L. Craig
Université de Montréal, Canada"Leveraging patient-specific heterogeneity to establish effective immunotherapeutic protocols"
David Basanta
Moffitt Cancer Center, Tampa, USA"Innocent bystander? The role of stromal cells in cancer evolution and treatment resistance"
Kaitlyn Johnson
University of Texas at Austin, USA"Towards an integrated framework for incorporating multimodal data sets into mechanistic models of treatment response dynamics in cancer"
Khaphetsi Joseph Mahasa
Lesotho"Mesenchymal stem cells used as carrier cells of oncolytic adenovirus results in enhanced oncolytic virotherapy"
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