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Andrew D. Trister, Ph.D.

Affiliations: 
2007 University of Pennsylvania, Philadelphia, PA, United States 
Area:
cell adhesion and motility
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Daniel A. Hammer grad student 2007 Penn
 (Nanoscale particle binding in silico: HIV docking and multivalent recruitment under flow.)

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Kang J, Thompson RF, Aneja S, et al. (2020) NCI Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation. Practical Radiation Oncology
Sponseller P, Pelly N, Trister A, et al. (2015) Radiation treatment for the right naris in a pediatric anesthesia patient using an adaptive oral airway technique Medical Dosimetry. 40: 201-204
Rockne RC, Trister AD, Jacobs J, et al. (2015) A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET. Journal of the Royal Society, Interface / the Royal Society. 12
Baldock AL, Ahn S, Rockne R, et al. (2014) Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas. Plos One. 9: e99057
Dhami G, Gao W, Gensheimer M, et al. (2014) Mentorship of Radiation Oncology Residents: An Unmet Need International Journal of Radiation Oncology*Biology*Physics. 90: S601
Baldock AL, Rockne RC, Boone AD, et al. (2013) From patient-specific mathematical neuro-oncology to precision medicine. Frontiers in Oncology. 3: 62
Neal ML, Trister AD, Ahn S, et al. (2013) Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression. Cancer Research. 73: 2976-86
Neal ML, Trister AD, Cloke T, et al. (2013) Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric. Plos One. 8: e51951
Baldock A, Rockne R, Ahn S, et al. (2013) Patient-specific biomathematical model to predict benefit of resection in human gliomas. Journal of Clinical Oncology. 31: e13017-e13017
Trister A, Rockhill J, Friend S. (2013) Gene Expression Changes at Recurrence After Radiation in Patients With High-Grade Gliomas Predicts Survival International Journal of Radiation Oncology*Biology*Physics. 87: S667
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