Hasil Pencarian - David A. Hormuth, II

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  1. 1
    A data assimilation framework to predict the response of glioma cells to radiation

    A data assimilation framework to predict the response of glioma cells to radiation oleh Junyan Liu, David A. Hormuth II, Jianchen Yang, Thomas E. Yankeelov

    Diterbitkan 2023-01-01
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  2. 2
    PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

    PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects oleh Inês G. Gonçalves, David A. Hormuth II, Sandhya Prabhakaran, Caleb M. Phillips, José Manuel García-Aznar

    Diterbitkan 2023-02-01
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  3. 3
    Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes

    Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes oleh Chase Christenson, Chengyue Wu, David A. Hormuth, II, Shiliang Huang, Ande Bao, Andrew Brenner, Thomas E. Yankeelov

    Diterbitkan 2023-12-01
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  4. 4
    A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin

    A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin oleh Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

    Diterbitkan 2024-12-01
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  5. 5
    Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

    Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology oleh Anum S. Kazerouni, Manasa Gadde, Andrea Gardner, David A. Hormuth, II, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A.B. F. Lima, Guillermo Lorenzo, Caleb Phillips, Amy Brock, Thomas E. Yankeelov

    Diterbitkan 2020-12-01
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  6. 6
    Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data

    Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data oleh Angela M. Jarrett, David A. Hormuth, II, Chengyue Wu, Anum S. Kazerouni, David A. Ekrut, John Virostko, Anna G. Sorace, Julie C. DiCarlo, Jeanne Kowalski, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. Yankeelov

    Diterbitkan 2020-12-01
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