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Mathematical biology is a category for books that use mathematical and computational methods to understand, model, and predict biological phenomena across scales—from molecules and cells to organisms, populations, and ecosystems. Works in this genre cover theory, methods, and applications such as population dynamics, epidemiology, ecology, evolution, genetics, biophysics, physiology, systems biology, and neuroscience. Common tools include differential equations, dynamical systems, stochastic processes, network theory, game theory, statistical inference, and simulation. Books range from introductory textbooks and modeling guides to advanced monographs and case studies, emphasizing quantitative insight, model-based reasoning, and the integration of data with experiments to address biological questions and inform decision-making.

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