Why do some groups of organisms contain thousands of species while others have only a handful? Evolutionary biologists have ...

This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...

The careful modeling, analysis, and simulation of living systems using the tools of applied mathematics have led to novel biological insights. Our faculty develop mathematical models and perform ...

One of the most enduring, basic questions of life is: How does it happen? For instance, in human development, how do cells self-organize into skin, muscles or bones? How do they form a brain, a finger ...

This half-credit course discusses classical mathematical models of biological systems, with emphasis on the modeling process. Modeling tools used include ordinary and partial differential equations as ...

Researchers have identified a previously unrecognised mathematical property that explains why one of evolutionary biology's most widely used ...

Researchers at the University of Texas Rio Grande Valley have made an exciting breakthrough by utilizing recycled glass as a growing medium for crops. Initial greenhouse experiments indicate that ...

A newly published study provides guidance for building accurate mathematical models for gene regulatory networks. Over the last 20 years, researchers in biology and medicine have created Boolean ...

Every day, your body replaces billions of cells – and yet, your tissues stay perfectly organized. How is that possible? A team of researchers at ChristianaCare’s Helen F. Graham Cancer Center & ...

A noted Indian-origin academic in the UK believes that applying mathematics to living systems can reveal new biological insights and point towards potential therapies with real societal benefit.

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 ...