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Office
20 York St
New Haven, CT 06510Phone+1 203-688-4242Fax+1 617-632-2165
Summary
- Dr. Aymen Elfiky, MD is an oncologist in New Haven, Connecticut. He is currently licensed to practice medicine in Connecticut, New York, and Florida. He is an Instructor at Harvard Medical School; Instructor.
Education & Training
- Yale-New Haven Medical CenterFellowship, Hematology and Medical Oncology, 2005 - 2008
- NYU Grossman School of MedicineResidency, Internal Medicine, 2003 - 2005
- Yale-New Haven Medical CenterInternship, Internal Medicine, 2001 - 2002
- Washington University in St. Louis School of MedicineClass of 2001
Certifications & Licensure
- NY State Medical License 2018 - 2026
- CT State Medical License 2007 - 2025
- MA State Medical License 2008 - 2025
- FL State Medical License 2015 - 2017
Clinical Trials
- Gemcitabine Hydrochloride and Cisplatin With or Without Bevacizumab in Treating Patients With Advanced Urinary Tract Cancer Start of enrollment: 2009 Jul 15
- A Dose Finding Study of TKM-080301 Infusion in Neuroendocrine Tumors (NET) and Adrenocortical Carcinoma (ACC) Patients Start of enrollment: 2010 Dec 01
Publications & Presentations
PubMed
- 20 citationsRacial disparities in an aging population: The relationship between age and race in the management of African American men with high-risk prostate cancerBrandon A. Mahal, David R. Ziehr, Ayal A. Aizer, Andrew S. Hyatt, Carlos Lago-Hernandez
Journal of Geriatric Oncology. 2014-10-01 - 85 citationsDevelopment and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting ChemotherapyAymen Elfiky, Maximilian J. Pany, Ravi B. Parikh, Ziad Obermeyer
JAMA Network Open. 2018-07-06 - 100 citationsThe Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled TrialsStephen Agboola, Woong Ju, Aymen Elfiky, Joseph C. Kvedar, Kamal Jethwani
Journal of Medical Internet Research. 2015-03-13
Authored Content
- Development and Application of a Machine Learning Approach to Assess Short-Term Mortality Risk Among Patients with Cancer Starting ChemotherapyJuly 2018
Press Mentions
- Algorithms ‘Highly Accurate’ Using EHRs to Predict Mortality for Chemo PatientsJuly 31st, 2018
- User:AymenelfikyMarch 30th, 2018