Cancer, Complexity, Computation (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Emergence, Complexity and Computation, 46
Release date:	August 2022
First published:	2022
Editors:	Igor Balaz • Andrew Adamatzky
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	347
Edition:	1st ed. 2022
ISBN-13:	978-3-03-104378-9
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN:	3-03-104378-2
Barcode:	9783031043789

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