Mathematical models in Complex Systems Biology


The general aim of this project was to deepen into the Biology-Mathematics interface, for which a selected set of relevant biological problems were considered and predictive models and efficient mathematical tools were developed to describe and quantify biological systems that present a high heterogeneity. Also, some of the problems that were addressed in this project evidenced a clear clinical relevance and, therefore, another goal was to transfer several of the results achieved within the theoretical framework to the clinic.

Why Mathematics?

Mathematical models are used in Science and Engineering to create conceptual frameworks in order to understand Nature and provide solutions to the real-world problems. Here we addressed different problems in the broad field of mathematics of complex systems biology, which aim to lay the groundwork for further application studies.

The Team

The researchers that worked on this project were MOLAB members Gabriel. F. Calvo (PI), Ignacio Ramís Conde, Arturo Álvarez-Arenas Alcamí and Juan Belmonte Beitia (PI), together with some external collaborators and other MOLAB members as Víctor M. Pérez-García, Odelaisy León Triana and María R. Durán.

Beyond this project

The methodological advances provided by this project are being used on the different application fields of interest of the MOLAB group. They are leading to proposals under testing in clinical studies.

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