Simulating atrial fibrillation patterns and screening strategies using virtual patient-level models

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Simulating atrial fibrillation patterns and screening strategies using virtual patient-level models

Session: Advancements in cardiovascular computing: digital twins, in silico trials, education, and virtual reality

Topic: In-Silico Medicine and Virtual Physiologic Patient

Speaker: Mr M. Cai (Maastricht, NL)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Mr Minsi Cai

Cardiovascular Research Institute Maastricht (CARIM), Maastricht (Netherlands (The))

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The impact of aging and atrial fibrillation on thrombus formation in-silico

Speaker: Mr A. Qureshi (London, GB)

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Abstract

Slides

Biomarker associated trends in mortality in myocardial infarction as an example of clinical data warehouse analyses - new opportunities of data-driven cardiovascular research

Speaker: Doctor J. Geng (Hamburg, DE)

A systematic review and meta-analysis of prediction models for incident heart failure and chronic kidney disease in community-based electronic health records

Speaker: Doctor T. Younsi (Leeds, GB)

Access the full session

Advancements in cardiovascular computing: digital twins, in silico trials, education, and virtual reality

Speakers: Mr M. Cai, Professor M. Canesin, Professor D. Angoulvant, Mr A. Qureshi, Doctor J. Geng...

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

Simulating atrial fibrillation patterns and screening strategies using virtual patient-level models

About the speaker

Mr Minsi Cai

6 more presentations in this session

Humanized interactive digital cardiology training.

Design of knowledge-based mechanistic model of atherosclerotic cardiovascular disease for in silico trials

The impact of aging and atrial fibrillation on thrombus formation in-silico

Biomarker associated trends in mortality in myocardial infarction as an example of clinical data warehouse analyses - new opportunities of data-driven cardiovascular research

A systematic review and meta-analysis of prediction models for incident heart failure and chronic kidney disease in community-based electronic health records

Access the full session

Advancements in cardiovascular computing: digital twins, in silico trials, education, and virtual reality

About the event

ESC Congress 2023

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