Daniel A. Cruz (UF Laboratory for Systems Medicine)
423 Little HallData Assimilation in Medical Models and Digital Twins One of the growing areas of interest in the context of biological and medical models is the question of how to personalize …
Data Assimilation in Medical Models and Digital Twins One of the growing areas of interest in the context of biological and medical models is the question of how to personalize …
NPIs, vaccination, and collective action under social norms Social dynamics are an integral part of the spread of disease affecting contact rates as well as the adoption of pharmaceutical and non-pharmaceutical …
Discovering dynamical patterns of activity from single-trial intracranial EEG recordings In this talk I will discuss a data-driven method that leverages time-delayed coordinates, diffusion maps, and dynamic mode decomposition, to …
An approximate Bayesian computation approach for embryonic astrocyte migration model reduction During embryonic development of the retina of the eye, astrocytes, a type of glial cell, migrate over the retinal …
Image analysis and agent-based modeling of tumor-immune interactions in the glioblastoma microenvironment Glioblastoma is a highly aggressive and deadly brain cancer with no current treatment options available that can achieve …
My trajectory towards mathematical modeling of pulmonary infections The immune response to respiratory infections is highly complex and multiscale, making it amenable for mathematical modeling. Fungal respiratory infections are becoming …
Novel Statistical Analysis Methods in Neuroimaging Using Diffusion MRI In this talk, I will discuss the fundamentals of diffusion MRI and explain how various features are extracted and their importance …
Unveiling the Hidden Threat: The Impact of Sub-Optimum Treatment on Acquired Immunity, Asymptomatic Cases, Malaria Dynamics Malaria remains a persistent global health issue, despite ongoing control efforts such as anti-malarial …
Reproducible Stochastic Simulation Stochastic simulations are commonly used to quantitatively or semi-quantitatively describe the dynamics of biological systems. At various scales and in multiple applications, stochastic simulation better reflects observed …
Uncertainty Quantification in Complex Models of Complicated Biology Validated mathematical models of complex biological phenomena are increasingly recognized as invaluable for elucidating mechanisms that underlie real-world (experimental or clinical) observations. …