David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Abstract 5487: A biologically-motivated mathematical model for forecasting chemoradiationresponse in high grade gliomas: Initial results


Journal article


D. Hormuth, K. Feghali, A. Elliot, C. Chung, T. Yankeelov
2020

Semantic Scholar DOI
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APA   Click to copy
Hormuth, D., Feghali, K., Elliot, A., Chung, C., & Yankeelov, T. (2020). Abstract 5487: A biologically-motivated mathematical model for forecasting chemoradiationresponse in high grade gliomas: Initial results.


Chicago/Turabian   Click to copy
Hormuth, D., K. Feghali, A. Elliot, C. Chung, and T. Yankeelov. “Abstract 5487: A Biologically-Motivated Mathematical Model for Forecasting Chemoradiationresponse in High Grade Gliomas: Initial Results” (2020).


MLA   Click to copy
Hormuth, D., et al. Abstract 5487: A Biologically-Motivated Mathematical Model for Forecasting Chemoradiationresponse in High Grade Gliomas: Initial Results. 2020.


BibTeX   Click to copy

@article{d2020a,
  title = {Abstract 5487: A biologically-motivated mathematical model for forecasting chemoradiationresponse in high grade gliomas: Initial results},
  year = {2020},
  author = {Hormuth, D. and Feghali, K. and Elliot, A. and Chung, C. and Yankeelov, T.}
}


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