Dr. N. Sydney Moise

Dr. N. Sydney Moïse has been involved in teaching, clinical practice, and research. Her scientific discovery has centered on arrhythmias in dogs. Currently, she has directed her research endeavors toward the normal and abnormal patterning of cardiac rhythms during long-term Holter analysis. The Norden Distinguished Teaching Award, AVMA research award for arrhythmia studies in German shepherds, Outstanding Alumni Award Texas A&M University and the Bourgelat Award for international contribution to the clinical practice of veterinary medicine were awarded to Dr. Moïse for her work. Recently, she received the inaugural C. V. Starr Professorship in Cardiology at Cornell University. Dr. Moïse was Editor-in Chief (5 years) and Associate Editor (2 years) of the international Journal of Veterinary Cardiology. She is extensively involved in the international aspects of academic veterinary cardiology including speaking and training. A prime motivator in her work is to provide the tools to anyone/anywhere seeking answers through scientific discovery whereby the implementation can make a difference because of deeper understanding. She has authored more than 125 peer-reviewed papers in veterinary cardiology with publications in both veterinary and human cardiology journals. Previously, she co-edited and authored with Dr. Philip Fox and David Sisson the textbook Canine and Feline Cardiology. In 2018, she co-authored/edited the textbook Electrocardiography of the Dog and Cat authored by Drs. Roberto Santilli, N. Sydney Moïse, Romain Pariaut and Manuela Perego. She is currently working on her book Heartbeats…Over Time (Long-term Electrocardiographic Monitoring in the Dog). Additionally, with her son, Wyatt H. Flanders, Dr. Moïse has created a teaching and advanced long-term electrocardiographic analysis website called: The Next Heartbeat; https://thenextheartbeat.com/). This website will be open-access to everyone providing software tools that give exciting methods to explore new possibilities in the understanding of cardiac rhythms through beat-to-beat analysis of electrocardiograms.