An Insight into the Mathematical Modeling of Physiological Systems

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Mathematics is extensively used in designing physiological modeling. There exists a long and rich history of mathematical modeling in physiology. Mathematical modeling refers to creating a mathematical representation of a real-life condition. Physiological modeling is creating a physiological system's representation in mathematical form. Mathematical models for many aspects of human pathology and physiology have been produced in recent decades. Understanding the connections between the parts of a complicated system may be accomplished with the use of mathematical models. In the biological context, mathematical models aid in our understanding of the intricate web of relationships among the various components (signaling molecules, DNA, enzymes, proteins, etc.) in a biological system. This improved interpretation allows us to predict and understand the behavior of the system in a diseased state. Understanding of several intricate biological systems, including metabolic networks, gene regulatory networks, enzyme kinetics, signal transduction pathways, and electrophysiology, has improved because of mathematical modeling. The study of biological systems has grown even more reliant on computational approaches and mathematical modeling as a result of recent developments in high throughput data production techniques.