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Thomas E. Yankeelov

the university of texas at austin

61H-index
465Paper Count
1.3WCitation Count
Published Papers 184
Publication Date
An MRI-informed poromechanical model for organ-scale prediction of glioma growth
err2026-08-25
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errOAAI
errM. Abbad Andaloussi; S. Urcun; D.A. Hormuth II; G. Lorenzo; G. Sciumè; C. Wu; T.E. Yankeelov; S.P.A. Bordas
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TumorTwin: a Python framework for patient-specific digital twins in oncology
err2026-05-11
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errOAAI
errMichael G. Kapteyn; Anirban Chaudhuri; Ernesto A. B. F. Lima; Graham Pash; Rafael Bravo; Karen E. Willcox; Thomas E. Yankeelov; David A. Hormuth II
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Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology
err2026-04-12
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PREAI
errGraham Pash; Umberto Villa; David A. Hormuth; Thomas E. Yankeelov; Karen Willcox
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Modeling tumor dynamics and predicting response to therapies in a murine pancreatic cancer model
err2025-11-04
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errOAAI
errKrithik Vishwanath; Hoon Choi; Mamta Gupta; Rong Zhou; Anna G. Sorace; Thomas E. Yankeelov; Ernesto A. B. F. Lima
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Employing nullclines to balance treatment efficacy and neurotoxicity for sustained tumor control
err2025-09-01
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PREAI
errOkereke, Lois C.; Lima, Ernesto A. B. F.; Sorace, Anna G.; Yankeelov, Thomas E.
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Personalizing neoadjuvant chemotherapy regimens for triple-negative breast cancer using a biology-based digital twin
err2025-05-23
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errOAAI
errChristenson, Chase; Wu, Chengyue; Hormuth II, David A.; Ma, Jingfei; Yam, Clinton; Rauch, Gaiane M.; Yankeelov, Thomas E.
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Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation
err2025-04-02
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errOAAI
errHiremath, Khushi C.; Atakishi, Kenan; Lima, Ernesto A. B. F.; Farhat, Maguy; Panthi, Bikash; Langshaw, Holly; Shanker, Mihir D.; Talpur, Wasif; Thrower, Sara; Goldman, Jodi; Chung, Caroline; Yankeelov, Thomas E.; Hormuth II, David A.
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Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
err2024-07-03
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errLorenzo, Guillermo; Ahmed, Syed Rakin; Hormuth, David A., II; Vaughn, Brenna; Kalpathy-Cramer, Jayashree; Solorio, Luis; Yankeelov, Thomas E.; Gomez, Hector
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Optimizing therapeutic regimens via digital twins to improve triple negative breast cancer response to neoadjuvant therapy
err2024-05-02
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PREAI
errWu, Chengyue; Lima, Ernesto; Stowers, Casey; Xu, Zhan; Yam, Clinton; Son, Jong Bum; Ma, Jingfei; Rauch, Gaiane; Yankeelov, Thomas
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Integrating mechanism-based and data-driven modeling to predict the response of triple negative breast cancer to therapy
err2024-05-02
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PREAI
errStowers, Casey; Wu, Chengyue; Kumar, Sidharth; Xu, Zhan; Yam, Clinton; Son, Jong Bum; Ma, Jingfei; Tamir, Jonathan; Rauch, Gaiane; Yankeelov, Thomas
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Personalized MRI-informed forecasting of prostate cancer progression during active surveillance
err2024-03-22
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PREAI
errGomez, Guillermo Lorenzo; Wu, Chengyue; Yung, Joshua P.; Ward, John F.; Gomez, Hector; Reali, Alessandro; Yankeelov, Thomas E.; Venkatesan, Aradhana M.; Hughes, Thomas J.
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Toward mechanistic medical digital twins: some use cases in immunology
err2024-03-07
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errOAAI
errLaubenbacher, Reinhard; Adler, Fred; An, Gary; Castiglione, Filippo; Eubank, Stephen; Fonseca, Luis L.; Glazier, James; Helikar, Tomas; Jett-Tilton, Marti; Kirschner, Denise; Macklin, Paul; Mehrad, Borna; Moore, Beth; Pasour, Virginia; Shmulevich, Ilya; Smith, Amber; Voigt, Isabel; Yankeelov, Thomas E.; Ziemssen, Tjalf
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A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin
err2024-02-27
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errOAAI
errMiniere, Hugo J. M.; Lima, Ernesto A. B. F.; Lorenzo, Guillermo; Hormuth, David A.; Ty, Sophia; Brock, Amy; Yankeelov, Thomas E.
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Forum on immune digital twins: a meeting report
err2024-02-16
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errOAAI
errLaubenbacher, Reinhard; Adler, Fred; An, Gary; Castiglione, Filippo; Eubank, Stephen; Fonseca, Luis L.; Glazier, James; Helikar, Tomas; Jett-Tilton, Marti; Kirschner, Denise; Macklin, Paul; Mehrad, Borna; Moore, Beth; Pasour, Virginia; Shmulevich, Ilya; Smith, Amber; Voigt, Isabel; Yankeelov, Thomas E.; Ziemssen, Tjalf
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Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge
err2024-01-01
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errOAAI
errLi, Wen; Partridge, Savannah C.; Newitt, David C.; Steingrimsson, Jon; Marques, Helga S.; Bolan, Patrick J.; Hirano, Michael; Bearce, Benjamin Aaron; Kalpathy-Cramer, Jayashree; Boss, Michael A.; Teng, Xinzhi; Zhang, Jiang; Cai, Jing; Kontos, Despina; Cohen, Eric A.; Mankowski, Walter C.; Liu, Michael; Ha, Richard; Pellicer-Valero, Oscar J.; Maier-Hein, Klaus; Rabinovici-Cohen, Simona; Tlusty, Tal; Ozery-Flato, Michal; Parekh, Vishwa S.; Jacobs, Michael A.; Yan, Ran; Sung, Kyunghyun; Kazerouni, Anum S.; Dicarlo, Julie C.; Yankeelov, Thomas E.; Chenevert, Thomas L.; Hylton, Nola M.
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Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
err2023-10-11
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errOAAI
errChaudhuri, Anirban; Pash, Graham; Hormuth II, David A.; Lorenzo, Guillermo; Kapteyn, Michael; Wu, Chengyue; Lima, Ernesto A. B. F.; Yankeelov, Thomas E.; Willcox, Karen
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Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth
err2023-10-01
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errOAAI
errLiang, Baoshan; Tan, Jingye; Lozenski, Luke; Hormuth, David A.; Yankeelov, Thomas E.; Villa, Umberto; Faghihi, Danial
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A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data
err2023-08-07
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errOAAI
errLorenzo, Guillermo; Jarrett, Angela M.; Meyer, Christian T.; DiCarlo, Julie C.; Virostko, John; Quaranta, Vito; Tyson, Darren R.; Yankeelov, Thomas E.
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Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation
err2023-06-27
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errOAAI
errYang, Jianchen; Virostko, Jack; Liu, Junyan; Jarrett, Angela M.; Hormuth, David A., II; Yankeelov, Thomas E.
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