ESC 365 - Professor Joost Lumens

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Professor Joost Lumens

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

Member of:

European Heart Rythm Association

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 and their treatments (e.g. cardiac resynchronization therapy). 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).

Sessions Presentations Articles

In silico medicine in cardiology

Event: ESC Track at Radical Health Festival 2023

Topic: In-Silico Medicine and Virtual Physiologic Patient

Session type: Symposium

Best of the European Heart Journal – Digital Health

Event: ESC Congress 2022

Topic: e-Cardiology/Digital Health

Session type: Special Session

Congress committee e-posters choice in e-cardiology and digital health

Event: ESC Congress 2021 - The Digital Experience

Topic: e-Cardiology/Digital Health

Session type: Congress Committee e-posters Choice

Live Abstract Presentations - Artificial intelligence

Event: EACVI - Best of Imaging 2020

Topic: Echocardiography

Session type: Abstract Sessions

In silico clinical trials (drugs, devices, industry and regulatory)

Event: Digital Health 2019

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session type: Roundtable

Remote monitoring for Chronic Heart Failure 1

Event: Digital Health 2019

Topic: Remote Patient Monitoring and Telehealth

Session type: Pitch Session

Technology & Innovation in eCardiology Award

Event: Digital Health 2019

Topic: e-Cardiology/Digital Health

Session type: Pitch Session

Novel technologies and artificial intelligence in cardiovascular imaging

Event: ESC Congress 2019

Topic: Cross-Modality and Multi-Modality Imaging Topics, Other

Session type: Symposium

Artificial Intelligence for Arrhythmias

Event: ESC Congress 2019

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session type: Pitch Session

Artificial Intelligence for ACC and CAD

Event: ESC Congress 2019

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session type: Pitch Session

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