Interdisciplinary approaches for molecular and cellular life sciences
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Modeling tumor growth and treatment response based on quantitative imaging data

Thomas E. Yankeelov,*abcdeh   Nkiruka C. Atuegwu,a   Natasha G. Deaneabfh and   John C. Goreabcdgh  
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Corresponding authors
a
Institute of Imaging Science, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
b
Department of Radiology and Radiological Sciences, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
c
Department of Biomedical Engineering, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
d
Department of Physics and Astronomy, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
e
Department of Cancer Biology, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
f
Department of Surgery, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
g
Department of Molecular Physiology and Biophysics, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
h
Vanderbilt-Ingram Cancer Center, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
Integr. Biol., 2010,2, 338-345

DOI: 10.1039/B921497F
Received 14 Oct 2009, Accepted 11 Jun 2010
First published online 02 Jul 2010

This article is part of themed collection: Integrative Biology 2010 Review Articles
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