The Mathematical Modeling Process in Biosciences — Torres, 2015

It explains the process of mathematical modeling in the field of biosciences. Mathematical modeling involves using mathematical equations to describe complex biological systems, which can help researchers understand these systems and make predictions about their behavior. It outlines the steps involved in the modeling process, beginning with identifying the problem to be addressed and formulating mathematical equations to describe the biological system in question. The authors emphasize the importance of selecting appropriate mathematical models for the problem at hand, taking into account the complexity of the system and the availability of experimental data. Once the mathematical model has been formulated, the authors discuss the importance of validating the model using experimental data. This process involves comparing the model's predictions to real-world data to ensure that the model accurately describes the biological system being studied. The authors also highlight the importance of sensitivity analysis in the modeling process, which involves testing the model's response to changes in input parameters to ensure that the results are robust and reliable. It emphasizes the interdisciplinary nature of mathematical modeling in biosciences, with collaborations between biologists, mathematicians, and computer scientists playing a crucial role in advancing our understanding of complex biological systems. The authors highlight the importance of communication and collaboration between these different fields to ensure that the modeling process is as accurate and effective as possible. There are challenges and limitations to using mathematical modeling in biosciences. One challenge is that biological systems are inherently complex and can be difficult to model accurately. Another challenge is that experimental data is often limited or difficult to obtain, which can make it challenging to validate mathematical models. Despite these challenges, the authors argue that mathematical modeling is a valuable tool for studying complex biological systems and has a thIn summary, the article shows that mathematical modeling is a powerful tool for studying complex biological systems. By following a systematic modeling process and selecting appropriate mathematical models, researchers can gain insights into these systems and make predictions about their behavior. The interdisciplinary nature of this research is emphasized, with collaborations between biologists, mathematicians, and computer scientists playing an important role in advancing our understanding of biosciences. Despite the challenges of using mathematical modeling in this field, the authors argue that it is a valuable tool that has the potential to lead to new insights and discoveries in biosciences. e potential to lead to new insights and discoveries in the field of biosciences.

Torres, N. V., & Santos, G. (2015). The (Mathematical) Modeling Process in Biosciences. Frontiers in genetics, 6, 354. https://doi.org/10.3389/fgene.2015.00354