Overview
- Gives an unequivocal slice of all areas that relate to a quest for understanding cancer
- Appeals to medical scientists, computer scientists, biologists, and mathematicians
- Presents attractive reading for a general audience because all topics are presented in a lively manner
Part of the book series: Emergence, Complexity and Computation (ECC, volume 46)
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Table of contents (16 chapters)
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Front Matter
Keywords
About this book
This book presents unique compendium of groundbreaking ideas where scientists from many different backgrounds are united in their interest in interdisciplinary approaches towards origins and development of cancers, innovative ways of searching for cancer treatment and the role of cancer in the evolution. Chapters give an unequivocal slice of all areas that relate to a quest for understanding cancer and its origin as many-fold nonlinear system, complexity of the cancer developments, a search for cancer treatment using artificial intelligence and evolutionary optimisation, novel modelling techniques, molecular origin of cancer, the role of cancer in evolution of species, interpretation of cancer in terms of artificial life and artificial immune systems, swarm intelligence, cellular automata, computational systems biology, genetic networks, cellular computing, validation through in vitro/vivo tumour models and tumour on chip devices. The book is an inspiring blend of theoretical and experimental results, concepts and paradigms.
Distinctive features
The book advances widely popular topics of cancer origin, treatment and understanding of its progress
The book is comprised of unique chapters written by world top experts in theoretical and applied oncology, complexity theory, mathematics, computer science.
The book illustrates attractive examples of mathematical and computer models and experimental setups.
Editors and Affiliations
Bibliographic Information
Book Title: Cancer, Complexity, Computation
Editors: Igor Balaz, Andrew Adamatzky
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-031-04379-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-04378-9Published: 12 August 2022
Softcover ISBN: 978-3-031-04381-9Published: 13 August 2023
eBook ISBN: 978-3-031-04379-6Published: 11 August 2022
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: VIII, 347
Number of Illustrations: 17 b/w illustrations, 91 illustrations in colour
Topics: Mathematical and Computational Engineering, Complexity, Cancer Research