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

被引：323

作者：

Corral-Acero, Jorge ^{[1
]}

Margara, Francesca ^{[2
]}

Marciniak, Maciej ^{[3
]}

Rodero, Cristobal ^{[3
]}

Loncaric, Filip ^{[4
]}

Feng, Yingjing ^{[5
,6
]}

Gilbert, Andrew ^{[7
]}

Fernandes, Joao F. ^{[3
]}

Bukhari, Hassaan A. ^{[6
,8
]}

Wajdan, Ali ^{[9
]}

Martinez, Manuel Villegas ^{[9
]}

Santos, Mariana Sousa ^{[10
]}

Shamohammdi, Mehrdad ^{[11
]}

Luo, Hongxing ^{[11
]}

Westphal, Philip ^{[12
]}

Leeson, Paul ^{[13
]}

DiAchille, Paolo ^{[14
]}

Gurev, Viatcheslav ^{[14
]}

Mayr, Manuel ^{[15
]}

Geris, Liesbet ^{[16
]}

Pathmanathan, Pras ^{[17
]}

Morrison, Tina ^{[17
]}

Cornelussen, Richard ^{[12
]}

Prinzen, Frits ^{[11
]}

Delhaas, Tammo ^{[11
]}

Doltra, Ada ^{[4
]}

Sitges, Marta ^{[4
,18
]}

Vigmond, Edward J. ^{[5
,6
]}

Zacur, Ernesto ^{[1
]}

Grau, Vicente ^{[1
]}

Rodriguez, Blanca ^{[2
]}

Remme, Espen W. ^{[9
]}

Niederer, Steven ^{[3
]}

Mortier, Peter ^{[10
]}

McLeod, Kristin ^{[7
]}

Potse, Mark ^{[5
,6
,19
]}

Pueyo, Esther ^{[8
,20
]}

Bueno-Orovio, Alfonso ^{[2
]}

Lamata, Pablo ^{[3
]}

机构：

[1] Univ Oxford, Dept Engn Sci, Oxford, England

[2] Univ Oxford, British Heart Fdn Ctr Res Excellence, Dept Comp Sci, Oxford, England

[3] Kings Coll London, Dept Biomed Engn, Div Imaging Sci & Biomed Engn, London, England

[4] Univ Barcelona, Hosp Clin, Inst Clin Cardiovasc, Inst Invest Biomed August Pi i Sunyer IDIBAPS, Barcelona, Spain

[5] Fdn Bordeaux Univ, Electrophysiol & Heart Modeling Inst, IHU Liryc, F-33600 Pessac, France

[6] Univ Bordeaux, IMB, UMR 5251, F-33400 Talence, France

[7] GE Vingmed Ultrasound, Horton, Norway

[8] Univ Zaragoza, Aragon Inst Engn Res, IIS Aragon, Zaragoza, Spain

[9] Oslo Univ Hosp, Rikshosp, Intervent Ctr, Oslo, Norway

[10] FEops NV, Ghent, Belgium

[11] Maastricht Univ, CARIM Sch Cardiovasc Dis, Maastricht, Netherlands

[12] Medtron PLC, Bakken Res Ctr, Maastricht, Netherlands

[13] Univ Oxford, John Radcliffe Hosp, Radcliffe Dept Med, Div Cardiovasc Med,Oxford Cardiovasc Clin Res Fac, Oxford, England

[14] IBM TJ Watson Res Ctr, Healthcare & Life Sci Res, Yorktown Hts, NY USA

[15] Kings Coll London, Kings British Heart Fdn Ctr, London, England

[16] Virtual Physiol Human Inst, Leuven, Belgium

[17] US FDA, Ctr Devices & Radiol Hlth, Silver Spring, MD USA

[18] Inst Salud Carlos III, CERCA Programme Generalitat, CIBERCV, CB16-11-00354, Catalunya, Spain

[19] Inria Bordeaux Sud Ouest, CARMEN Team, F-33400 Talence, France

[20] CIBER Bioengn Biomat & Nanomed CIBER BBN, Madrid, Spain

来源：

EUROPEAN HEART JOURNAL | 2020年 / 41卷 / 48期

基金：

英国惠康基金; 英国国家替代、减少和改良动物研究中心; 英国工程与自然科学研究理事会; 欧洲研究理事会;

关键词：

Precision medicine; Digital twin; Computational modelling; Artificial intelligence; CT ANGIOGRAPHY; BLOOD-FLOW; BIG DATA; MEDICINE; HEART; RISK; INFORMATION; PRESSURE; CHANNEL; TRIAL;

D O I：

10.1093/eurheartj/ehaa159

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：4556 / +

页数：11

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