Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells
Selected Works from the BIOMAT Consortium Lectures, Kolympari, Greece, 2024
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Beschreibung
This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.
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.
This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.
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.
Advances discussions on the mathematical modeling of infectious diseases such as COVID-19 and HIV-1 Dedicates a chapter to the use of machine learning and artificial intelligence in cell biology imaging Showcases cross-disciplinary collaborations in relevant applications within the mathematical and biological sciences
Autor*in
Rubem P. Mondaini
Themen in »Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells«
mathematical biology biomathematics biostatistics computational biology BIOMAT mathematical modeling predator-prey dynamics reaction-diffusion model spatiotemporal dynamics COVID-19 medical imaging epidemiological model