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T.R. Vijayaram, N Ramya, Ananth Padmanabhan,
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- Professor, Professor, Associate Professor Department of Mechanical Engineering, School of Mechanical Engineering, BIST, BIHER, Selaiyur, Chennai 600073, Department of Mathematics, SHSS, BIST, BIHER, Selaiyur, Chennai 600073, Department of Mechanical Engineering, Siva Subramaniya Nadar College of Engineering, Chennai Tamil Nadu, Tamil Nadu, Tamil Nadu India, India, India
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Abstract
nMathematics has become an integral part of biology, giving rise to the distinct field of biomathematics, which has seen significant development and application. This interdisciplinary field employs mathematical models to enhance our understanding of biological phenomena. Modern experimental biology excels at dissecting biological systems at various organizational levels, from genomes to global nutrient cycling, into simpler components for isolated study. Dynamic models play a crucial role in reassembling these components, using equations to represent the system’s parts, processes, and their interactions. Mathematical models are essential in diverse biological research areas, including physiology, cellular biology, developmental biology, ecology, evolution, toxicology, epidemiology, immunology, natural resource management, and conservation biology. The analysis and simulation of system-level models help test and expand biological theories, suggesting new hypotheses and experiments. Additionally, models synthesize existing information to provide quantitative answers to practical questions. This review paper highlights the significance and applications of biomathematics, emphasizing its role in advancing our understanding of complex biological systems and guiding future research directions.
Moreover, biomathematics continues to evolve with the emergence of new branches, addressing contemporary biological challenges. The integration of mathematical approaches in biology not only aids in theoretical advancements but also in practical applications such as disease modeling, ecosystem management, and the development of biotechnological innovations. The interdisciplinary collaboration between mathematicians and biologists fosters a comprehensive understanding of life sciences, paving the way for groundbreaking discoveries and solutions. This integration also facilitates personalized medicine, where mathematical models predict individual responses to treatments, enhancing therapeutic efficacy and reducing adverse effects. In agriculture, biomathematical models optimize crop yields and pest control strategies, ensuring sustainable practices. The future of biomathematics holds promise for addressing global challenges such as climate change, biodiversity conservation, and public health, making it an indispensable tool in both scientific inquiry and practical applications. As the field advances, continued interdisciplinary collaboration will be crucial in harnessing the full potential of biomathematics to solve complex biological problems and improve human well-being.
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Keywords: Biomathematical, mathematical biology, population ecology, life sciences, interdisciplinary
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References
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| Volume | ||
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | ||
| Received | July 4, 2024 | |
| Accepted | July 4, 2024 | |
| Published | July 20, 2024 |
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