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David J. Christini

Researcher at Cornell University

Publications -  117
Citations -  3641

David J. Christini is an academic researcher from Cornell University. The author has contributed to research in topics: Repolarization & Reentry. The author has an hindex of 33, co-authored 113 publications receiving 3368 citations. Previous affiliations of David J. Christini include SUNY Downstate Medical Center & Georgia Institute of Technology.

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A Computational Model to Predict the Effects of Class I Anti-Arrhythmic Drugs on Ventricular Rhythms

TL;DR: The ability of this sophisticated model of living cardiac tissue to replicate the clinical adverse effects of lidocaine and flecainide is promising, but it will be necessary to validate its performance with other drugs to understand how to deploy it most effectively.
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Dynamic control of cardiac alternans

TL;DR: A dynamic control technique was used to suppress a cardiac arrhythmia called an alternans rhythm in a piece of dissected rabbit heart that adapted to drifting system parameters, making it well suited for the control of physiological rhythms.
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Real-Time linux dynamic clamp: a fast and flexible way to construct virtual ion channels in living cells.

TL;DR: A system for real-time control of biological and other experiments that combines good performance, immense flexibility, low cost, and reasonable ease of use that excels in particular for applications requiring complex control algorithms that must operate at speeds over 1 kHz.
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Exploiting mathematical models to illuminate electrophysiological variability between individuals.

TL;DR: This review discusses mathematical modelling studies in cardiac electrophysiology and neuroscience that have enhanced the understanding of variability in a number of key areas and suggests that rigorous analyses of mathematical models can generate quantitative predictions regarding how molecular‐level variations contribute to functional differences between experimental samples.
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Control of electrical alternans in canine cardiac purkinje fibers.

TL;DR: Results confirm the wavelike nature of alternans and may have important implications for their control using electrical stimuli.