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A population of in silico models to face the variability of human induced pluripotent stem cell-derived cardiomyocytes: the hERG block case study

Abstract:

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are characterized by an extreme variability, which cannot be reproduced by a single in silico model. Here we present a population of hiPSC-CM models, calibrated using six different experimental datasets. By sampling the maximum conductances of 11 ionic currents, 10000 parameter sets were obtained. The experimental data-based calibration selected 1355 in silico models to be included in the final population. Such population ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.22489/CinC.2016.345-232

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
St Cross College
Role:
Author
Publisher:
IEEE Publisher's website
Journal:
2016 Computing in Cardiology Conference (CinC) Journal website
Volume:
43
Pages:
1189-1192
Host title:
2016 Computing in Cardiology Conference (CinC)
Publication date:
2017-03-02
Acceptance date:
2016-06-02
DOI:
EISSN:
2325-887X
ISSN:
2325-8861
Source identifiers:
688789
ISBN:
9781509008964
Pubs id:
pubs:688789
UUID:
uuid:3739df2d-6251-466a-a81c-943109e6309f
Local pid:
pubs:688789
Deposit date:
2017-09-07

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