Special Issue: Mathematical modeling of tumor heterogeneity
Guest Editor
Dr. Kevin Flores
Department of Mathematics, North Carolina State University, Raleigh, NC, USA
Dr. Erica Rutter
Department of Applied Mathematics, University of California Merced, Merced, CA, USA
Manuscript Topics
In vivo tumors exhibit a broad range of heterogeneity, both within and across individuals. e.g., variability in space, geno- and pheno-types, and environment. This special issue aims to cover a broad range of fundamental questions about how, why, and if heterogeneity is important for cancer progression. Contributions will rely on understanding heterogeneity through the development or application of novel mathematical and statistical modeling techniques, as well as new imaging tools. We also encourage contributions that connect tumor heterogeneity to variability in treatment outcomes, including multi-treatment and adaptive treatment scenarios.
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/
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