Research from Trayanova lab published in Science Translational Medicine
Trayanova Lab has been collaborating with the laboratory of Dr. Colleen Clancy at UC Davis, Department of Pharmacology, as well as researchers from Columbia and Cornell University to develop a computer model of a human heart that can help forecast some of the side effects of drugs used to treat cardiac tachyarrhythmias. A research article with the results of this project entitled “A Computational Model to Predict the Effects of Class I Anti-Arrhythmic Drugs on Ventricular Rhythms” was published in the August 31 issue of Science Translational Medicine. Trayanova Lab conducted the human heart simulations of drug interactions published in the research paper. Computer models of the human heart created by Trayanova Lab are also featured in the latest issue of Scientific American under their “Extreme Tech” category. The article, by Larry Greenemeier, is entitled “Virtual Ventricle: Computer Predicts Dangers of Arrhythmia Drugs Better than Animal Testing” and discusses the results of the study published in Science Translational Medicine. Featured in the Scientific American article is an example of a computer simulated heart based on MRI data reconstructions from Trayanova graduate student Jason Bayer.