If we have an accurate model of how a disease works, for example Alzheimer’s is a disease which has a huge unmet need in terms of lacking good treatment options, then we can try to intervene to ...

Predicting and controlling disease outbreaks would be easier and more reliable with the wider application of mathematical modelling, according to a new study. Predicting and controlling disease ...

Agyingi, Ephraim O,, et al. "Modeling the Immune System Response: An Application to Leishmaniasis." Mathematical Biosciences and Engineering 17. 2 (2020): 1253-1271. Print. Agyingi, Ephraim, et al.

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.

A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...

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 ...

Educational Studies in Mathematics, Vol. 63, No. 1 (Sep., 2006), pp. 89-112 (24 pages) Views of mathematical modeling in empirical, expository, and curricular references typically capture a ...

The University of Delaware Summer Math Modeling Program is a free, nonresidential, five-day program for rising juniors and seniors in high school interested in math modeling. Participating students ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.