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Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models

Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10474996

Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models

About this item

Full title

Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Archives of toxicology, 2023-10, Vol.97 (10), p.2721-2740

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

In silico methods can be used for an early assessment of arrhythmogenic properties of drug candidates. However, their use for decision-making is conditioned by the possibility to estimate the predictions’ uncertainty. This work describes our efforts to develop uncertainty quantification methods for the predictions produced by multi-level proarrhyth...

Alternative Titles

Full title

Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10474996

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10474996

Other Identifiers

ISSN

0340-5761,1432-0738

E-ISSN

1432-0738

DOI

10.1007/s00204-023-03557-6

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