Application of Mathematical Modeling in Basic Medical Research

DOI: https://doi.org/10.62517/jmhs.202605122

Author(s)

Xinyu Kang*

Affiliation(s)

College of Basic Medical Science, China Medical University, Shenyang, Liaoning, China *Corresponding author

Abstract

Mathematical modeling, as a bridge connecting mathematical theory with practical problems, lies in its core value of revealing the inherent laws of complex systems through quantitative analysis and logical deduction. Against the backdrop of basic medical research transitioning towards precision, systematization, and intelligence, the concept of mathematical modeling has become an essential tool for deciphering physiological mechanisms, optimizing experimental design, predicting disease progression, and enhancing diagnostic and therapeutic efficiency. This paper elucidates the integration of mathematical modeling with basic medical research, analyzing its specific application scenarios and practical value in basic medicine from three dimensions: physiological process simulation, disease mechanism elucidation, and drug development optimization. It explores issues such as model applicability and data dependency in current applications and proposes targeted optimization pathways. Simultaneously, aligning with the strategic requirements of “Healthy China 2030”, it looks ahead to the convergence trends of mathematical modeling with artificial intelligence and big data technologies, providing comprehensive theoretical and practical references to promote the quantitative upgrading of basic medical research and facilitate medical technological innovation.

Keywords

Basic medicine, Mathematical modeling, Physiological simulation, Disease prediction, Drug development.

References

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