ESC 365 - Proteomics-based computational modelling of myocardial metabolism for personalized phenotyping and outcome prediction in advanced heart failure

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Proteomics-based computational modelling of myocardial metabolism for personalized phenotyping and outcome prediction in advanced heart failure

Session: Young Investigator Award Session in Heart Failure and Cardiomyopathies

Topic: In-Silico Medicine and Virtual Physiologic Patient

Speaker: Doctor N. Beyhoff (Oxford, GB)

Event: ESC Congress 2024

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About the speaker

Doctor Niklas Beyhoff

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

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3 more presentations in this session

Acute kidney injury as a risk factor for heart failure hospitalisation after major non-cardiac surgery

Speaker: Mr R. Kaufmann (Basel, CH)

Artificial intelligence for automated left ventricular systolic dysfunction detection using a wearable cardiac patch incorporated with synchronized phonocardiogram and electrocardiogram

Speaker: Doctor W. Zhang (Shanghai, CN)

Associations of different definitions of iron deficiency with cardiac structure and function, congestion, exercise capacity and prognosis in heart failure

Speaker: Doctor N. Pugliese (Pisa, IT)

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Young Investigator Award Session in Heart Failure and Cardiomyopathies

Speakers: Doctor N. Beyhoff, Mr R. Kaufmann, Doctor W. Zhang, Doctor N. Pugliese

About the event

ESC Congress 2024

30 August - 2 September 2024

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