Paul K Newton

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. pmc Spreaders and sponges define metastasis in lung cancer: a markov chain monte carlo mathematical model
    Paul K Newton
    Authors Affiliations Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles Scripps Clinic Medical Group UCSD Moores Cancer Center The Scripps Research Institute, La Jolla, California Billings Clinic, Billings, Montana and Memorial Sloan Kettering Cancer Center, New York, New York
    Cancer Res 73:2760-9. 2013
  2. 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

Detail Information

Publications2

  1. pmc Spreaders and sponges define metastasis in lung cancer: a markov chain monte carlo mathematical model
    Paul K Newton
    Authors Affiliations Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles Scripps Clinic Medical Group UCSD Moores Cancer Center The Scripps Research Institute, La Jolla, California Billings Clinic, Billings, Montana and Memorial Sloan Kettering Cancer Center, New York, New York
    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. Cancer Res; 73(9); 2760-9. ©2013 AACR...
  2. 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...