Paper in Science Translational Medicine co-authored by Trayanova lab featured in Scientific American


heart,virtualComputer models of the human heart created by Trayanova Lab are 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 new research article entitled “A Computational Model to Predict the Effects of Class I Anti-Arrhythmic Drugs on Ventricular Rhythms” published in the August 31 issue of Science Translational Medicine.

Trayanova Lab has been collaborating with the laboratory of 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 at least some of the side effects of drugs used to treat certain tachyarrhythmias”. Trayanova Lab conducted the human heart simulations of drug interactions published in the research paper. Also featured with the Scientific American article is an example of a computer simulated heart based on MRI data reconstructions from Graduate Student Jason Bayer.

To read the full article, click here.
Click here to view the research article.

JHU - Institute for Computational Medicine