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Let us begin our journey through the amazing field of Biomathematics with a quote from a great scientist:

“Sometimes science is more art than science,
a lot of people don’t get that.”

— Rick Sanchez

Although time and multiverse traveling has not been invented yet, we might be on the right path to better understand the dynamics of deadly diseases and even improve current treatments by relying on Biomathematics.

Biomathematics may be defined as the combined application of Biology, Mathematics and Engineering Sciences to describe any kind of biological or physiological process by means of mathematical modelling and numerical simulations also known as in silico when referring to biological experiments performed in a computer.

Mathematical modelling and numerical simulations are powerful tools that may provide critical insights concerning the short- and long-term evolution of complex biological phenomena. Their combination allows us to investigate different scenarios that could be difficult or even impossible to explore in real life.

Mathematical models describing biological processes can be formulated by a set of linear and nonlinear equations, usually first-order ODEs. These systems may be thoroughly analyzed to understand and control their dynamics by applying well-established methods.

BioMath was conceived for analyzing and modelling complex biological dynamics, including, but no limited to, cancer biology, immune response, chronic diseases evolution (such as diabetes, HIV/AIDS, cardiovascular diseases, etc.), epidemics of infection diseases and pharmacodynamics.

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At the BioMath research group we aim to further explore the field of Biomathematics in order to provide novel solutions for today’s major health problems by applying mathematical modelling, control theory and numerical simulations in the designing of the so-called medical digital twins.

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