Machine learning to optimise use of cardiac troponin in the diagnosis of acute myocardial infarction

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Machine learning to optimise use of cardiac troponin in the diagnosis of acute myocardial infarction

Session: Biomarkers and more

Topic: Biomarkers

Speaker: Doctor D. Doudesis (Edinburgh, GB)

Event: ESC Congress 2022

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About the speaker

Doctor Dimitrios Doudesis

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

1 presentation

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8 more presentations in this session

Patients with known coronary artery disease who are ruled out for acute myocardial infarction using a high sensitivity troponin T 0/1-hour algorithm have increased 30-day major adverse cardiac events

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VEGF beta is a candidate biomarker for cardiovascular risk stratification

Speaker: Doctor C. Schulte (Hamburg, DE)

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Differences in circulating cardiac troponin I and T in acute and chronic cardiac disease

Speaker: Doctor T. Zimmermann (Basel, CH)

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Growth differentiation factor 15 at 3 months after an acute chest pain admission is associated with increased risk of death and cardiovascular events

Speaker: Doctor G. Myrmel (Bergen, NO)

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Direct comparison of very early AMI rule-out algorithms

Speaker: Doctor C. Pedersen (Aarhus, DK)

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Biomarkers and more

Speakers: Doctor D. Doudesis, Professor R. Nowak, Doctor C. Schulte, Doctor T. Zimmermann, Doctor G. Myrmel...

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About the event

ESC Congress 2022

26 August - 29 August 2022

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