The 'Digital Twin' to enable the vision of precision cardiology

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CORRAL-ACERO, Jorge
Department of Engineering Science [Oxford]

MARGARA, Francesca
Department of Computer Science [Oxford]

MARCINIAK, Maciej
King‘s College London

CORRAL-ACERO, Jorge
Department of Engineering Science [Oxford]

MARGARA, Francesca
Department of Computer Science [Oxford]

MARCINIAK, Maciej
King‘s College London

RODERO, Cristobal
King‘s College London

LONCARIC, Filip
Universitat de Barcelona [UB]

FENG, Yingjing
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]

GILBERT, Andrew
Oslo University Hospital [Oslo]

FERNANDES, Joao
King‘s College London

BUKHARI, Hassaan
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Institut de Mathématiques de Bordeaux [IMB]

WAJDAN, Ali
Oslo University Hospital [Oslo]

VILLEGAS MARTINEZ, Manuel
Oslo University Hospital [Oslo]

SANTOS, Mariana
FEops

SHAMOHAMMDI, Mehrdad
Maastricht University [Maastricht]

LUO, Hongxing
Maastricht University [Maastricht]

WESTPHAL, Philip
Medtronic Bakken Research Center BV

LEESON, Paul
John Radcliffe Hospital [Oxford University Hospital]

DIACHILLE, Paolo
IBM Thomas J. Watson Research Center

GUREV, Viatcheslav
IBM Thomas J. Watson Research Center

MAYR, Manuel
King‘s College London

GERIS, Liesbet
Virtual Physiological Human Institute [Leuven] [VPH]

PATHMANATHAN, Pras
U.S. Food and Drug Administration [FDA]

MORRISON, Tina
U.S. Food and Drug Administration [FDA]

CORNELUSSEN, Richard
Medtronic Bakken Research Center BV

PRINZEN, Frits
Cardiovascular Research Institute Maastricht [CARIM]

DELHAAS, Tammo
Cardiovascular Research Institute Maastricht [CARIM]

DOLTRA, Ada
Institut d'Investigacions Biomèdiques August Pi i Sunyer [IDIBAPS]

SITGES, Marta
Institut d'Investigacions Biomèdiques August Pi i Sunyer [IDIBAPS]

VIGMOND, Edward
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
Institut de Mathématiques de Bordeaux [IMB]

ZACUR, Ernesto
University of Oxford

GRAU, Vicente
Department of Engineering Science [Oxford]

RODRIGUEZ, Blanca
Department of Computer Science [Oxford]

REMME, Espen
University of Oslo [UiO]

NIEDERER, Steven
King‘s College London

MORTIER, Peter
FEops

MCLEOD, Kristin
GE Vingmed Ultrasound AS

POTSE, Mark
IHU-LIRYC
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]

PUEYO, Esther
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]

BUENO-OROVIO, Alfonso
Department of Computer Science [Oxford]

LAMATA, Pablo
King‘s College London

Langue

en

Article de revue

Ce document a été publié dans

European Heart Journal. 2020-12-21, vol. 41, n° 48, p. 4556–4564

Oxford University Press (OUP)

Résumé en anglais

Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second ...Lire la suite >

Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vision is the increasing power of computers and algorithms to learn, reason, and build the 'digital twin' of a patient. Computational models are boosting the capacity to draw diagnosis and prognosis, and future treatments will be tailored not only to current health status and data, but also to an accurate projection of the pathways to restore health by model predictions. The early steps of the digital twin in the area of cardiovascular medicine are reviewed in this article, together with a discussion of the challenges and opportunities ahead. We emphasize the synergies between mechanistic and statistical models in accelerating cardiovascular research and enabling the vision of precision medicine.< Réduire

Mots clés en anglais

Artificial intelligence

Computational modelling

Digital twin

Precision medicine

URI

https://oskar-bordeaux.fr/handle/20.500.12278/191637

DOI

http://dx.doi.org/10.1093/eurheartj/ehaa159

Project ANR

L'Institut de Rythmologie et modélisation Cardiaque

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251

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