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Predicting risk of arrhythmias and sudden cardiac death: There's a computer model for that
Date:12/13/2012

al patient and provide more aggressive prevention and treatment strategies for those who need it."

Moss adds that the research exemplifies a strong trend in medicine where practitioners are moving away from diagnosing disease primarily by signs and symptoms and instead focusing more on the basic genetic aspects of specific ailments.

Computer models of the human heart have been in development since the 1960's, but the authors believe they are the first to publish a study demonstrating that they can be used to generate clinically relevant information that predicts patient risk.

Lopes and Rice, along with Jean-Phillippe Couderc, Ph.D., M.B.A., a biomedical engineer and cardiology researcher at the Medical Center, are taking their model to the next level with the use of IBM's next generation supercomputer, the Blue Gene/Q, which was recently installed in the University of Rochester's Health Sciences Center for Computational Innovation. It is one of the most powerful and efficient computer systems in the world and enables scientists to sift through mountains of data and create complex models. The team plans on using the supercomputer to generate a gender-specific model to better understand which drugs may cause lethal disruptions of the heart's electrical activity.


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Contact: Emily Boynton
emily_boynton@urmc.rochester.edu
585-273-1757
University of Rochester Medical Center
Source:Eurekalert

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