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Cancer, Complexity, Computation

Name: Cancer, Complexity, Computation
Brand: Springer International Publishing AG
SKU: 9783031043789
Price: 884.05 RON
Availability: InStock

Autor: Igor Balaz, Andrew Adamatzky

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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884.05 lei

This book presents unique compendium of groundbreaking ideas where scientists from many different ba...

Informații despre carte

Autor

Igor Balaz, Andrew Adamatzky

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

347

EAN

9783031043789

Enbook ID

38898519

Editura

Springer International Publishing AG

Greutate

699

Dimensiuni

155 x 235 x 25

Descriere completă

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 featuresThe book advances widely popular topics of cancer origin, treatment and understanding of its progressThe 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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