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The ‘Digital Twin’ to enable the vision of precision cardiology

Abstract:

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...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/eurheartj/ehaa159

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Role:
Author
ORCID:
0000-0003-2792-7087
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Role:
Author
ORCID:
0000-0002-4277-7446
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Role:
Author
ORCID:
0000-0001-7921-7840
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Role:
Author
ORCID:
0000-0002-7865-1108
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Publisher:
Oxford University Press Publisher's website
Journal:
European Heart Journal Journal website
Article number:
ehaa159
Publication date:
2020-03-04
Acceptance date:
2020-02-24
DOI:
EISSN:
1522-9645
ISSN:
0195-668X
Language:
English
Keywords:
Subjects:
Pubs id:
1091177
Local pid:
pubs:1091177
Deposit date:
2020-03-05

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