Predictive computational modeling to define effective treatment strategies for bone metastatic prostate cancer

Abstract

The ability to rapidly assess the efficacy of therapeutic strategies for incurable bone metastatic prostate cancer is an urgent need. Pre-clinical in vivo models are limited in their ability to define the temporal effects of therapies on simultaneous multicellular interactions in the cancer-bone microenvironment. Integrating biological and computational… (More)
DOI: 10.1038/srep29384

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Cite this paper

@inproceedings{Cook2016PredictiveCM, title={Predictive computational modeling to define effective treatment strategies for bone metastatic prostate cancer}, author={Leah M. Cook and Arturo Araujo and Julio M. Pow-Sang and Mikalai M. Budzevich and David Basanta and Conor C. Lynch}, booktitle={Scientific reports}, year={2016} }