Medical Toxicology Foundation Research and Teaching Awards
The Medical Toxicology Foundation anticipates awarding up to $20,000 in 2016 to fund innovative projects that support the Foundation’s mission of an enriched understanding, enhanced patient care, and improved dissemination of knowledge regarding toxic exposures.
The scope of the MTF Awards is intended to be broad and creative: All proposals that support the mission of the Foundation will be considered. Current research and education priorities of the Foundation include:
- Support early-career investigators (fellows and young faculty
- Support development of innovative approaches to delivery of medical toxicology education to healthcare providers and lay public.
Applicants can request monies in any amount from $5,000-$20,000 to support projects of 1-2 years duration, but they should keep in mind that the intent of the Foundation is to fund as many quality applications as fiscally possible. However, a single, outstanding application could be awarded the entire $20,000.
Check back soon for 2016 details and submission guidelines.
2015 Medical Toxicology Foundation Innovative Research and Teaching Award Recipients
PI: Jennifer Carey, MD, University of Massachusetts Medical Center, Worcester, MA
Protocol: “Adolescent at Risk: Intentional toxic exposures in self-harm attempts and the role of social media.
PI: Christine Murphy, MD, Carolinas Medical Center, Charlotte, NC
Protocol: “A pilot study of the efficacy of hydroxocobalamin in treating nifedipine-induced shock.”
2014 Medical Toxicology Foundation Innovative Research and Teaching Award Recipients
||PI: Katherine Katzung, MD, HealthPartners Institute for Education & Research/Regions Hospital, Department of Emergency Medicine. Minneapolis, MN
Protocol: Effect of Norepinephrine on Cerebral Oxygenation in a Porcine Model of Propranolol Toxicity After Maximization of High Dose Insulin (HDI) Therapy.
||PI: Nathan Menke, MD, PhD, Division of Medical Toxicology, Department of Emergency Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
Protocol: Utilizing Machine Based Learning Algorithms to Predict Mortality in Acetaminophen Overdoses