ISBN: 9780521111706 - drug resistance in cancer: mechanisms and models (5 Ergebnisse)

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New.

Zustand: New. An accessible and sophisticated account of the biological mechanisms of drug resistance in cancer and their mathematical modelling. Num Pages: 256 pages, 22 b/w illus. 6 tables. BIC Classification: MJCL; MMG. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 15. Weight in Grams: 380. . 2009. 1st Edition. paperback. . . . . …

Zustand: New. An accessible and sophisticated account of the biological mechanisms of drug resistance in cancer and their mathematical modelling. Num Pages: 256 pages, 22 b/w illus. 6 tables. BIC Classification: MJCL; MMG. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 15. Weight in Grams: 380. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Drug resistance in cancer, whereby a proportion of cancer cells evades chemotherapy, poses a profound and continuing challenge for the effective treatment of cancer. The principles underlying the biological mechanisms behind this phenomenon are clearly understood and explained in this volume. However, a deeper understanding of drug resistance requires a quantitative appreciation of the dynamic forces that shape tumour growth, including spontaneous mutation and selection processes. The authors seek to explain and to simplify these complex mechanisms, and to place them in a clinical context. Clearly explained mathematical models are used to illustrate the biological principles and provide an insight into tumour development and the effectiveness and limitations of drug treatment. It is suitable for those with a non-mathematical background and aims to enhance the effectiveness of cancer therapy.…