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Prof. Merav Hagar Shamir | Veterinary Neurobiology Lab

Prof. Merav Hagar Shamir

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Prof.
Merav Hagar
Shamir
Professor of Veterinary Neurology & Neurosurgery
Diplomate of the European College of Veterinary Neurology (Dipl. ECVN)
DVM Degree, Hebrew University
B.Sc. Degree in Biology, Hebrew University

I received my bachelor’s degree in biology from the Hebrew University following which I continued my studies for a Doctor of Veterinary Medicine degree at the Koret School of Veterinary Medicine. Upon graduation, I was asked by the dean of the school to stay and become one of the ‘pioneers’ (young...) doctors who helped build the school of veterinary medicine from its first years. I then completed a residency in small animal surgery under the supervision of prof. Dudley Johnson which was directly followed by 5 years of non-conformal residency in veterinary neurology and neurosurgery under the supervision of Prof. Cheryl Chrisman from the University of Florida.  Upon passing the European certifying examination of the ECVN I became the first boarded veterinary neurologist and neurosurgeon in Israel.  Since then, I am happy to divide my time between teaching neurology and neurosurgery to veterinary students, supervising residents at the veterinary teaching hospital, and doing research in my lab which is located in the Koret school research building in Rehovot.

My research was always driven by questions arising from unmet clinical challenges. Splitting my time between the clinics and the lab allows me to keep applying cutting-edge medical discoveries into the veterinary clinical neurology through multiple clinical trials.

Adhering to the concept that relevant medical research originates from the clinic, I have established the veterinary neurobiology lab with the help and talent of my students. I am mainly interested in using basic research tools to investigate pathological pathways in specimens and data originating from clinical cases of naturally occurring diseases.

I believe that although challenging, discovering achieved while working on data from clinical cases is important and may sometimes be more relevant for understanding diseases.