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.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

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.

One use of mathematical models of epidemics is thought experiments to aid scientists in reasoning from premise to conclusion in complex systems. Quite a few models of the Covid-19 pandemic have now ...

"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.

Historically, mathematical models in ecology have been used largely to provide qualitative explanations for patterns in nature. A classic example of this approach was the effort to use competition ...