9780817647124 - Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy (Modeling and Simulation in Science, Engineering and Technology) (7 Ergebnisse)

Zustand: New. pp. 492 Illus.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 492 | Sprache: Englisch | Produktart: Bücher | This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, and immune competition in tumor progression and prevention. The complexity of modeling living matter requires the development of new mathematical methods and ideas. This volume, written by first-rate researchers in the field of mathematical biology, is one of the first steps in that direction.

Hardcover. Zustand: Brand New. 1st edition. 473 pages. 9.50x6.50x1.25 inches. In Stock.

Zustand: New. This collection of selected chapters is written by first-rate researchers in the field of mathematical biology. It offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Editor(s): Bellomo, Nicola; Chaplain, Mark A.J.; Angelis, Elena de. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 489 pages, 140 black & white illustrations, 16 black & white tables, biography. BIC Classification: MJCL. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 826. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Applied mathematicians are becoming increasingly involved in the modeling and simulation of tumor growth, reducing the amount of experimentation necessary for drug and therapy development and shedding light on aspects of cancer dynamics that are difficult to assess experimentally. This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, and immune competition in tumor progression and prevention. This book is an excellent reference guide for applied mathematicians, physicists, biologists, and economists interested in the modeling of complex social systems and living matter.