Cancer, complexity, computation /: Igor Balaz, Andrew Adamatzky, editors.

Balaz, Igor,; Adamatzky, Andrew,

doi:10.1007/978-3-031-04379-6

Cancer, complexity, computation / Igor Balaz, Andrew Adamatzky, editors.

Balaz, Igor, editor.; Adamatzky, Andrew, editor.

2022

RC267

Available Online

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Title

Cancer, complexity, computation / Igor Balaz, Andrew Adamatzky, editors.

ISBN

9783031043796 (electronic bk.)
3031043790 (electronic bk.)
9783031043789
3031043782

DOI

https://doi.org/10.1007/978-3-031-04379-6

Published

Cham : Springer, [2022]

Copyright

Language

English

Description

1 online resource (viii, 348 pages) : illustrations (chiefly color).

Item Number

10.1007/978-3-031-04379-6 doi

Call Number

RC267

Dewey Decimal Classification

616.99/40072

Summary

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.

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Access limited to authorized users.

Source of Description

Online resource; title from PDF title page (SpringerLink, viewed August 19, 2022).

Added Author

Balaz, Igor, editor.
Adamatzky, Andrew, editor.

Series

Emergence, complexity and computation ; 46.

Available in Other Form

Print version: 9783031043789

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Online Access