ESC 365 - Computational prediction of acquired Long QT and drug-induced Torsades de Pointes.

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Computational prediction of acquired Long QT and drug-induced Torsades de Pointes.

Session: The power of electronic health records and computational technologies

Topic: ECG (Cardiac arrhythmias, non invasive)

Speaker: Professor B. Rodriguez (Oxford, GB)

Event: EHRA EUROPACE - CARDIOSTIM 2017

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About the speaker

Professor Blanca Rodriguez

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

6 presentations

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3 more presentations in this session

Genetics of Long QT and electronic health records.

Speaker: Professor E. Behr (London, GB)

Long QT in digital ECG of general population: significance and genetics

Speaker: Professor J. Junttila (Oulu, FI)

In silico assessment of cardiac safety of anti-arrhythmic drugs

Speaker: Professor J. Heijman (Graz, AT)

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The power of electronic health records and computational technologies

Speakers: Professor B. Rodriguez, Professor E. Behr, Professor J. Junttila, Professor J. Heijman

About the event

EHRA EUROPACE - CARDIOSTIM 2017

18 June - 21 June 2017

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