Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB by Peter J. Costa offers a practical approach to analyzing biological data through mathematical models and scientific computing methods. The book focuses on applying these tools to gain insights into the behavior of biological systems. Drawing from his extensive experience in academia, industry, and government-sponsored research, as well as his expertise in MATLAB, the author provides a comprehensive suite of computer programs with applications in epidemiology, machine learning, and biostatistics.

The book explores various topics, including the spread of infectious diseases such as HIV/AIDS through populations, statistical pattern recognition techniques to detect diseases in diagnostic samples, and the fundamentals of hypothesis testing. It also includes unique case studies that offer detailed insights into biological systems and the challenges involved in their analysis. The author has developed a well-tested set of MATLAB functions serving as a general toolbox for quantitative biology and biostatistics professionals.

This combination of practical applications and theoretical knowledge makes the book an invaluable resource for practitioners in the field, providing both the technical tools and real-world context needed to effectively analyze complex biological data.