Ryan Miller

Affiliations: 
2011-2016 Neurobiology and Anaotmy Wake Forest University, Winston-Salem, NC, United States 
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"Ryan Miller"
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Baek K, Park J, Kim E, et al. (2024) A Reconfigurable Proangiogenic Hydrogel Patch Enabling Minimally Invasive Drug Delivery. Acs Applied Materials & Interfaces
Niazi M, Miller R, Kolb R, et al. (2024) Association Between Time From Surgery to Radiation Therapy and Multimodality Treatment Outcomes in HPV+ Head and Neck Cancer: A Multi-Institutional Cohort Experience. Advances in Radiation Oncology. 9: 101515
Chang RC, Miller RL, Kwon KW, et al. (2024) Cost Offset of Dapagliflozin in the US Medicare Population with Cardio-Kidney Metabolic Syndrome. Advances in Therapy
Breidbart E, Ilkowitz J, Regelmann MO, et al. (2024) Precocious Puberty and GnRH analogs: Current treatment practices and perspectives amongst US pediatric endocrinologists. Hormone Research in Paediatrics
Lombardo J, Castillo E, Castillo R, et al. (2024) Prospective trial of Functional Lung Avoidance Radiation Therapy for Lung Cancer: Quality of Life Report. International Journal of Radiation Oncology, Biology, Physics
Seijts G, de Clercy C, Miller R. (2024) Character and Trust in Crisis Leadership: Probing the Relationships Among Character, Identification-Based Trust, and Perceptions of Effectiveness in Political Leadership During the COVID-19 Pandemic. The Journal of Applied Behavioral Science. 59: 127-154
DesJarlais AM, Miller R, Ali AS, et al. (2024) Case report: durable response of gliomatosis cerebri with concurrent tumor-treating fields (TTFields) and chemoradiotherapy treatment. Chinese Clinical Oncology. 12: 69
He C, Karpavičiūtė N, Hariharan R, et al. (2023) Seeking arrangements: cell contact as a cleavage-stage biomarker. Reproductive Biomedicine Online. 48: 103654
Loomis SJ, Miller R, Castrillo-Viguera C, et al. (2023) Genome-Wide Association Studies of ARIA From the Aducanumab Phase 3 ENGAGE and EMERGE Studies. Neurology. 102: e207919
Cohen AM, Kaner J, Miller R, et al. (2023) Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. Journal of the American Medical Informatics Association : Jamia
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