PerspectiveCOMPUTATIONAL MODELING

Clinically Relevant Modeling of Tumor Growth and Treatment Response

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Science Translational Medicine  29 May 2013:
Vol. 5, Issue 187, pp. 187ps9
DOI: 10.1126/scitranslmed.3005686

Article Information

vol. 5 no. 187 187ps9

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Author Information

  1. Thomas E. Yankeelov1,2,3,4,5,6*,
  2. Nkiruka Atuegwu1,2,
  3. David Hormuth1,2,3,
  4. Jared A. Weis1,2,
  5. Stephanie L. Barnes1,2,
  6. Michael I. Miga1,2,3,7,
  7. Erin C. Rericha4 and
  8. Vito Quaranta5,6
    1. 1Institute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USA.
    2. 2Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37212, USA.
    3. 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA.
    4. 4Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37212, USA.
    5. 5Department of Cancer Biology, Vanderbilt University, Nashville, TN 37212, USA.
    6. 6Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN 37212, USA.
    7. 7Department of Neurological Surgery, Vanderbilt University, Nashville, TN 37212, USA.
    1. *Corresponding author. E-mail: thomas.yankeelov{at}vanderbilt.edu

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