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 ...

Incorporating living conditions and job opportunities in cities into mathematical models of human mobility improves model ...

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, ...

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 ...

Why do we need to understand the dynamics of the cell cycle? The cell cycle is a mechanism that controls and integrates the stages of DNA synthesis, mitosis, and cell division. This mechanism dictates ...

Graduates of RIT’s mathematical modeling Ph.D. program gain the expertise to apply modeling tools across diverse fields, contribute innovative solutions to complex interdisciplinary problems, and ...

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.