Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools.
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| Title: | Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools. |
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| Authors: | Bai, Jieyun1,2 (AUTHOR) jbai996@aucklanduni.ac.nz, Wang, Weishan1 (AUTHOR), Zhang, Xiaoshen3 (AUTHOR), Lu, Hua3 (AUTHOR) speciahual@icloud.com, Zhang, Henggui4 (AUTHOR), Panfilov, Alexander V.5,6 (AUTHOR), Zhao, Jichao2 (AUTHOR) |
| Source: | PLoS Computational Biology. 7/3/2025, Vol. 21 Issue 7, p1-30. 30p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 186375539 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bai%2C+Jieyun%22">Bai, Jieyun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jbai996@aucklanduni.ac.nz</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Weishan%22">Wang, Weishan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoshen%22">Zhang, Xiaoshen</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Hua%22">Lu, Hua</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> speciahual@icloud.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Henggui%22">Zhang, Henggui</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Panfilov%2C+Alexander+V%2E%22">Panfilov, Alexander V.</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Jichao%22">Zhao, Jichao</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 7/3/2025, Vol. 21 Issue 7, p1-30. 30p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186375539 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013154 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 1 Titles: – TitleFull: Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bai, Jieyun – PersonEntity: Name: NameFull: Wang, Weishan – PersonEntity: Name: NameFull: Zhang, Xiaoshen – PersonEntity: Name: NameFull: Lu, Hua – PersonEntity: Name: NameFull: Zhang, Henggui – PersonEntity: Name: NameFull: Panfilov, Alexander V. – PersonEntity: Name: NameFull: Zhao, Jichao IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 07 Text: 7/3/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 21 – Type: issue Value: 7 Titles: – TitleFull: PLoS Computational Biology Type: main |
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