MATHEMATICAL MODELING IN BIOLOGY: APPLICATIONS, CHALLENGES, AND PERSPECTIVES
Abstract
Mathematical modeling has become an indispensable tool in modern biology, providing a framework for understanding complex living systems that cannot be fully explained through observation alone. From population dynamics to epidemiology and molecular biology, mathematical models allow researchers to test hypotheses, predict outcomes, and design interventions. This article explores the role of mathematical modeling in biological sciences, focusing on its applications, methodological approaches, and educational significance in preparing future biologists for interdisciplinary research.
Keywords
mathematical modeling, biology, population dynamics, epidemiology, systems biology, applied mathematics
References
- Murray, J. D. (2002). Mathematical Biology I: An Introduction. Springer.
- Edelstein-Keshet, L. (2005). Mathematical Models in Biology. SIAM.
- Nowak, M. A. (2006). Evolutionary Dynamics: Exploring the Equations of Life. Harvard University Press.
- Alon, U. (2006). An Introduction to Systems Biology: Design Principles of Biological Circuits. Chapman & Hall/CRC.
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