Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

Mathematical modelling has long provided critical insights into the complex interactions between predators and their prey. Traditional approaches, such as the Lotka–Volterra model, lay the foundation ...

Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient ...

Researchers demonstrate how mathematical modeling can be used to analyze the impact of different cancer treatments on tumor and immune cell dynamics and help predict outcomes to therapy and ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

The formula, developed by a URV research team, accurately describes the movement patterns of people. The results have been published in the journal Nature Communications How many people will travel ...

Mathematical modeling has been a powerful tool for policymakers grappling with COVID-19 to help predict how targeted actions can impact the rates of infections, minimize the risk of exposures, ...

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

Throughout recorded history, human society has lived with periodic epidemics and pandemics. Numerous disease outbreaks have led to death, societal upheaval, and economic disruption. Predicting how an ...