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

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

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A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data by 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

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

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

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

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

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

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

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

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Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas by 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

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

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

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Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data by 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

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Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials by 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

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An Online Repository for Pre-Clinical Imaging Protocols (PIPs) by 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

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