A data assimilation framework to predict the response of glioma cells to radiation Autor 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 Autor 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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Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation Autor Jianchen Yang, Jack Virostko, Junyan Liu, Angela M. Jarrett, David A. Hormuth, Thomas E. Yankeelov

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PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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) Autor 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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