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Cancer, Complexity, Computation

  • Book
  • © 2022


  • 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)


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

  • University of Novi Sad, Novi Sad, Serbia

    Igor Balaz

  • Unconventional Computing Laboratory, University of the West of England, Bristol, UK

    Andrew Adamatzky

Bibliographic Information

  • Book Title: Cancer, Complexity, Computation

  • Editors: Igor Balaz, Andrew Adamatzky

  • Series Title: Emergence, Complexity and Computation

  • DOI:

  • 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

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