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Professor Joost Lumens

Cardiovascular Research Institute Maastricht (CARIM), Maastricht (Netherlands (The))
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Biography
Professor Joost Lumens, PhD, FESC, leads the Computational Cardiology team at the Cardiovascular Research Institute Maastricht (CARIM), Maastricht University. He is Deputy Editor of European Heart Journal: Digital Health and past-chairperson of the ESC Working Group on e-Cardiology. His team's research approach typically combines multi-scale computer modeling/simulation techniques with experimental and clinical data to gain mechanistic insight in cardiac diseases, such as heart failure, arrhythmia, and valvular heart disease. Importantly, translation of novel mechanistic insights into diagnostic, therapeutic and educational improvement is always pursued. His team is actively working on the development and application of cardiac Digital Twin solutions for fundamental research as well as clinical decision support (in silico patient phenotyping and therapy outcome prediction). His lab is the home of the CircAdapt model of the human heart and circulation (www.circadapt.org).
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Contributor content

Ask the Trialists - CUVIA-PRR
Session
Ask the Trialists - CUVIA-PRR
1 September 2025
In silico medicine in cardiology
Session
In silico medicine in cardiology
14 June 2023
Best of the European Heart Journal – Digital Health
Session
Best of the European Heart Journal – Digital Health
27 August 2022
Congress committee e-posters choice in e-cardiology and digital health
Session
Congress committee e-posters choice in e-cardiology and digital health
27 August 2021
Live Abstract Presentations - Artificial intelligence
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Live Abstract Presentations - Artificial intelligence
11 December 2020
In silico clinical trials (drugs, devices,  industry and regulatory)
Session
In silico clinical trials (drugs, devices, industry and regulatory)
6 October 2019
Remote monitoring for Chronic Heart Failure 1
Session
Remote monitoring for Chronic Heart Failure 1
5 October 2019
Technology & Innovation in eCardiology Award
Session
Technology & Innovation in eCardiology Award
5 October 2019
Novel technologies and artificial intelligence in cardiovascular imaging
Session
Novel technologies and artificial intelligence in cardiovascular imaging
2 September 2019
Artificial Intelligence for Arrhythmias
Session
Artificial Intelligence for Arrhythmias
1 September 2019

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