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Which elements of the complete blood count can predict the incidence of cardiovascular disease? the EPIC-NL cohort study

27 August 2017 (08:39 - 08:48)
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Congress Presentation Part of: From telomere length to machine learning - News in risk prediction Biomarkers ESC Premium Access ESC Congress 2017

About the speaker

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Doctor Camille Lassale

Barcelona Institute for Global Health - ISGlobal, Barcelona (Spain)

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High-sensitivity troponin I predicts the risk of adverse outcomes in patients with chronic kidney disease
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Access the full session

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From telomere length to machine learning - News in risk prediction

The Event

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ESC Congress 2017

27 August 2017 08:39 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources