LEADER 03511nam 22006612 450 001 9910460059903321 005 20151005020621.0 010 $a1-107-21140-9 010 $a1-282-77073-X 010 $a9786612770739 010 $a0-511-90148-8 010 $a0-511-79912-8 010 $a0-511-90227-1 010 $a0-511-79772-9 010 $a0-511-78145-8 010 $a0-511-90069-4 035 $a(CKB)2670000000037326 035 $a(EBL)564422 035 $a(OCoLC)662258419 035 $a(SSID)ssj0000423614 035 $a(PQKBManifestationID)11310986 035 $a(PQKBTitleCode)TC0000423614 035 $a(PQKBWorkID)10440037 035 $a(PQKB)11585823 035 $a(UkCbUP)CR9780511781452 035 $a(MiAaPQ)EBC564422 035 $a(PPN)161818129 035 $a(Au-PeEL)EBL564422 035 $a(CaPaEBR)ebr10412955 035 $a(CaONFJC)MIL277073 035 $a(EXLCZ)992670000000037326 100 $a20100519d2010|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiscale modeling of cancer $ean integrated experimental and mathematical modeling approach /$fVittorio Cristini, John Lowengrub$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2010. 215 $a1 online resource (xix, 278 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-88442-X 320 $aIncludes bibliographical references and index. 327 $aPart I. Theory: 1. Introduction; 2. Biological background; 3. Continuum tumor modeling: single phase; 4. Analysis and calibration of single-phase continuum tumor models; 5. Continuum tumor modeling: multiphase; 6. Discrete cell modeling; 7. Hybrid continuum -- discrete models; 8. Numerical schemes -- Part II. Applications: 9. Continuum tumor modeling: a multidisciplinary approach; 10. Agent-based cell modeling: application to breast cancer. 330 $aMathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field. 606 $aCancer$xResearch$xMathematical models 606 $aMultiscale modeling 615 0$aCancer$xResearch$xMathematical models. 615 0$aMultiscale modeling. 676 $a362.196/994 700 $aCristini$b Vittorio$f1970-$0748389 702 $aLowengrub$b John 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910460059903321 996 $aMultiscale modeling of cancer$92456421 997 $aUNINA