Systems Biomedicine Approaches in Cancer Research (Hardcover, 1st ed. 2022)

This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2022
Editors:	Shailza Singh
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	163
Edition:	1st ed. 2022
ISBN-13:	978-981-19-1952-7
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Professional & Technical > Biochemical engineering > Biotechnology > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General Promotions
LSN:	981-19-1952-6
Barcode:	9789811919527

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