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 ...

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.

Researchers have developed a three-dimensional mathematical model of prostate cancer. The model depicts various processes, including tumour growth, genetic evolution and tumour cell competition.

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.

My long career as an air pollution meteorologist largely consisted of mathematical modeling of the impact of industrial air contaminants on surrounding communities. Much of my practice included ...

Ever better experimental techniques allow us to perform experiments under tightly controlled conditions and can deliver gigantic amounts of data reflecting the complexity of biology. This has vastly ...

In the global conversation about modern modeling, digital transformation, and artificial intelligence, many names have become synonymous with groundbreaking advancement. Cynthia Rudin’s research on ...

Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the ...

Model natural and engineered hydraulic and hydrologic systems. Manage large datasets and develop models for hydrodynamics. Gain in-depth modeling experience using real-world case studies in a ...

"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.