Tumor Composition and the Host Environment on Cancer Treatment Strategies The one-size-fits-all approach is not effective at treating cancer and tumor heterogeneity plays an important role in patient response. Current …
Estimating the Long-term Behavior of Biologically Inspired Agent-based Models An agent-based model (ABM) is a computational model in which the local interactions of autonomous agents with each other and with …
Challenges and Opportunities for Translational Research: The Power of Data Integration With increased regulatory burden and high expectations from prescribers and patients, it is no longer cost- nor time-effective to …
Optimizing Biofilm Removal Bacterial biofilms are consortia of bacteria enmeshed in a self-produced polymer network. Biofilms occur in a wide variety of settings and impact health, water quality, manufacturing, and …
Mathematical modeling of diabetes Diabetes is the leading endocrine disease affecting socioeconomic development and has multiple pathogenic pathways. Type 2 diabetes (T2D) is the most common type of diabetes primarily …
Modeling of Drosophila Egg Chamber: Chemical Distribution, Force Balance, and Clustered Cell Migration The Drosophila melanogaster egg chamber provides an accessible biological model for clustered cell dynamics in development, metastasis, …
Dynamics of a linearly-perturbed May-Leonard competition model The May-Leonard model was introduced to examine the behavior of three competing populations where rich dynamics, such as limit cycles and nonperiodic cyclic …
Optimization of Immunotherapy Treatment Regimen for Glioblastoma The most common and aggressive primary brain cancer, Glioblastoma multiforme (GBM), exhibits a highly immune-suppressed tumor microenvironment. Monotherapy with anti-PD-1—a common immunotherapy which …
Immunotherapy: Using math to help the immune system fight cancer In recent years, immunotherapy has been taking a central role in cancer therapies. In this talk we will provide an …
