ESC 365 - Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations

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Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations

Session: Nature Medicine: highlights in cardiovascular research

Topic: Chronic Heart Failure

Speaker: Doctor D. Doudesis (Edinburgh, GB)

Event: ESC Congress 2023

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Doctor Dimitrios Doudesis

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

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3 more presentations in this session

RNA interference targeting hepatic angiopoietin-like protein 3 results in prolonged reductions in serum triglyceride and non-HDL cholesterol concentrations: first human results with ARO-ANG3

Speaker: Professor G. Watts (Perth, AU)

The SGLT2 inhibitor empagliflozin in patients hospitalised for acute heart failure: a multinational randomised trial

Speaker: Professor C. Angermann (Wurzburg, DE)

Long-term cardiac pathology in individuals with mild initial COVID-19 illness

Speaker: Doctor V. Puntmann (Frankfurt, DE)

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Nature Medicine: highlights in cardiovascular research

Speakers: Doctor D. Doudesis, Professor G. Watts, Professor C. Angermann, Doctor V. Puntmann

About the event

ESC Congress 2023

25 August - 28 August 2023

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