Paul K Newton

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. pmc Modeling and simulation of procoagulant circulating tumor cells in flow
    Angela M Lee
    Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California Los Angeles, CA, USA
    Front Oncol 2:108. 2012
  2. pmc Spreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model
    Paul K Newton
    Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles 90089, USA
    Cancer Res 73:2760-9. 2013
  3. pmc A stochastic Markov chain model to describe lung cancer growth and metastasis
    Paul K Newton
    Department of Aerospace and Mechanical Engineering and Department of Mathematics, University of Southern California, Los Angeles, California, United States of America
    PLoS ONE 7:e34637. 2012
  4. doi request reprint Entropy, complexity, and Markov diagrams for random walk cancer models
    Paul K Newton
    Viterbi School of Engineering, Department of Mathematics, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089 1191, USA
    Sci Rep 4:7558. 2014

Collaborators

  • Angela M Lee
  • Garth W Tormoen
  • Eva Kanso
  • Owen J T McCarty

Detail Information

Publications4

  1. pmc Modeling and simulation of procoagulant circulating tumor cells in flow
    Angela M Lee
    Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California Los Angeles, CA, USA
    Front Oncol 2:108. 2012
    ..Therefore, our model highlights the potential to determine patient-specific risks for CTC-induced hypercoagulability as a function of CTC number and individual patient concentration of coagulation factors...
  2. pmc Spreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model
    Paul K Newton
    Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles 90089, USA
    Cancer Res 73:2760-9. 2013
    ..The model shows that the combined characteristics of the primary and the first metastatic site to which it spreads largely determine the future pathways and timescales of systemic disease...
  3. pmc A stochastic Markov chain model to describe lung cancer growth and metastasis
    Paul K Newton
    Department of Aerospace and Mechanical Engineering and Department of Mathematics, University of Southern California, Los Angeles, California, United States of America
    PLoS ONE 7:e34637. 2012
    ..The model allows us to simulate and quantify disease progression pathways and timescales of progression from the lung position to other sites and we highlight several key findings based on the model...
  4. doi request reprint Entropy, complexity, and Markov diagrams for random walk cancer models
    Paul K Newton
    Viterbi School of Engineering, Department of Mathematics, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089 1191, USA
    Sci Rep 4:7558. 2014
    ....