Integrative disease-drug-trial platform for Parkinson’s disease Despite the wide research on Parkinson’s disease (PD), current knowledge on how to link pathophysiological changes and clinical symptoms is still minimal. We are …
Modeling Resistance in Oncolytic Viral Therapy Drug resistance is a common phenomenon in the treatment of cancer. As with other cancer therapies, treatment failure due to resistance also occurs for …
Structural and practical identifiability analysis of a multiscale immuno-epidemiological model We perform the identifiability analysis of a multiscale model of seasonal influenza with multiscale data. We show that the well …
Collective Cell Behavior in 3D Cell Assemblies—3D Printed Structures, Random Aggregates, and Perfectly Precise Arrays The remarkable differences between cells grown on plates and cells in vivo or 3D culture …
Multi-Scale Models of Infectious Disease Dynamics and Validating with Data The bidirectional feedback induced through population and individual-level infectious disease and host immune dynamics requires development of innovative multi-scale models. …
Modelling Microtube Driven Invasion of Glioma Malignant gliomas are highly invasive brain tumors. Recent attention has focused on their capacity for network-driven invasion, whereby mitotic events can be followed by …
Modeling the effects of Aedes aegypti's larval environment on population and disease spread Mosquitoes vector harmful pathogens that infect millions of people every year, and developing approaches to effectively control …
Modeling Mesenchymal Cell Motion - Force, Speed and the Role of Focal Adhesion Lifetimes In this talk I will present a force based mathematical model of mesenchymal cell motion where …
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 …
