Andrew D. Trister, Ph.D.
Affiliations: | 2007 | University of Pennsylvania, Philadelphia, PA, United States |
Area:
cell adhesion and motilityGoogle:
"Andrew Trister"Mean distance: 9.94 | S | N | B | C | P |
Parents
Sign in to add mentor| Daniel A. Hammer | grad student | 2007 | Penn | |
| (Nanoscale particle binding in silico: HIV docking and multivalent recruitment under flow.) | ||||
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Publications
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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 |
| Corwin D, Holdsworth C, Rockne RC, et al. (2013) Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma. Plos One. 8: e79115 |
| 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 |