The book covers a wide range of topics, from epidemiological modeling and optimal infection control to the application of machine learning and artificial intelligence in cell biology imaging. It also explores the dynamics of disease spread, protein structure modeling, and mathematical models of HIV-1, COVID-19, monkeypox, and measles, featuring contributions from some of the most esteemed researchers in the field, as well as findings from a new generation of researchers, fostering cross-disciplinary collaborations. Carefully edited, this volume will appeal to both researchers and students looking for topics for further study. 

Previous BIOMAT volumes from 2018 to 2024 are also available from Springer.