Đang hiển thị 1 - 16 kết quả của 16 cho tìm kiếm 'David A Hormuth', thời gian truy vấn: 0.06s Tinh chỉnh kết quả
  1. 1
    Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling

    Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling Bằng David A. Hormuth, Angela M. Jarrett, Thomas E. Yankeelov

    Được phát hành 2020-01-01
    lấy văn bản
    Bài viết
  2. 2
    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 Bằng Junyan Liu, David A. Hormuth II, Jianchen Yang, Thomas E. Yankeelov

    Được phát hành 2023-01-01
    lấy văn bản
    Bài viết
  3. 3
    A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data

    A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data Bằng Junyan Liu, David A. Hormuth, David A. Hormuth, Jianchen Yang, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov

    Được phát hành 2022-02-01
    lấy văn bản
    Bài viết
  4. 4
    Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation

    Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation Bằng David A. Hormuth, Karine A. Al Feghali, Andrew M. Elliott, Thomas E. Yankeelov, Caroline Chung

    Được phát hành 2021-04-01
    lấy văn bản
    Bài viết
  5. 5
    Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation

    Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation Bằng Jianchen Yang, Jack Virostko, Junyan Liu, Angela M. Jarrett, David A. Hormuth, Thomas E. Yankeelov

    Được phát hành 2023-06-01
    lấy văn bản
    Bài viết
  6. 6
    An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines.

    An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines. Bằng Jianchen Yang, Jack Virostko, David A Hormuth, Junyan Liu, Amy Brock, Jeanne Kowalski, Thomas E Yankeelov

    Được phát hành 2021-01-01
    lấy văn bản
    Bài viết
  7. 7
    PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

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

    Được phát hành 2023-02-01
    lấy văn bản
    Bài viết
  8. 8
    Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

    Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma Bằng Kalina P. Slavkova, Sahil H. Patel, Zachary Cacini, Anum S. Kazerouni, Andrea L. Gardner, Thomas E. Yankeelov, David A. Hormuth

    Được phát hành 2023-05-01
    lấy văn bản
    Bài viết
  9. 9
    Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

    Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma Bằng Kalina P. Slavkova, Sahil H. Patel, Zachary Cacini, Anum S. Kazerouni, Andrea L. Gardner, Thomas E. Yankeelov, David A. Hormuth

    Được phát hành 2023-02-01
    lấy văn bản
    Bài viết
  10. 10
    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 Bằng Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

    Được phát hành 2024-12-01
    lấy văn bản
    Bài viết
  11. 11
    Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

    Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas Bằng Anirban Chaudhuri, Graham Pash, David A. Hormuth, David A. Hormuth, Guillermo Lorenzo, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Thomas E. Yankeelov, Karen Willcox

    Được phát hành 2023-10-01
    lấy văn bản
    Bài viết
  12. 12
    Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

    Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer Bằng Angela M. Jarrett, David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan, Daniel Schmolze, Joanne Mortimer, Russell C. Rockne, Thomas E. Yankeelov

    Được phát hành 2020-11-01
    lấy văn bản
    Bài viết
  13. 13
    Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

    Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology Bằng 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

    Được phát hành 2020-12-01
    lấy văn bản
    Bài viết
  14. 14
    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 Bằng 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

    Được phát hành 2020-12-01
    lấy văn bản
    Bài viết
  15. 15
    Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

    Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials Bằng Emel Alkim, Heidi Dowst, Julie DiCarlo, Lacey E. Dobrolecki, Anadulce Hernández-Herrera, David A. Hormuth, Yuxing Liao, Apollo McOwiti, Robia Pautler, Mothaffar Rimawi, Ashley Roark, Ramakrishnan Rajaram Srinivasan, Jack Virostko, Bing Zhang, Fei Zheng, Daniel L. Rubin, Thomas E. Yankeelov, Michael T. Lewis

    Được phát hành 2023-04-01
    lấy văn bản
    Bài viết
  16. 16
    An Online Repository for Pre-Clinical Imaging Protocols (PIPs)

    An Online Repository for Pre-Clinical Imaging Protocols (PIPs) Bằng Seth T. Gammon, Allison S. Cohen, Adrienne L. Lehnert, Daniel C. Sullivan, Dariya Malyarenko, Henry Charles Manning, David A. Hormuth, Heike E. Daldrup-Link, Hongyu An, James D. Quirk, Kooresh Shoghi, Mark David Pagel, Paul E. Kinahan, Robert S. Miyaoka, A. McGarry Houghton, Michael T. Lewis, Peder Larson, Renuka Sriram, Stephanie J. Blocker, Stephen Pickup, Alexandra Badea, Cristian T. Badea, Thomas E. Yankeelov, Thomas L. Chenevert

    Được phát hành 2023-03-01
    lấy văn bản
    Bài viết

Công cụ tìm kiếm: