Mathematical biology is an interdisciplinary field that uses mathematical models to study biological systems. This paper provides an overview of mathematical modeling in biology, highlighting its importance in enhancing our understanding of complex biological processes. The paper discusses various modeling approaches, including deterministic and stochastic models, and their applications in different biological contexts. It also examines challenges faced by mathematical biologists, such as data availability and model complexity, and discusses emerging trends and technologies that are shaping the future of the field. The paper concludes with a discussion on the importance of interdisciplinary collaboration in advancing mathematical biology.

mathematical biology, modeling, deterministic models, stochastic models, interdisciplinary collaboration