Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks.
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| Title: | Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. |
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| Authors: | Qian Y; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, USA., Zhu G; Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, USA., Zhang Z; Division of Applied Mathematics, Brown University, Providence, RI, USA., Modepalli S; School of Medicine, Georgetown University, Washington DC, USA., Zheng Y; Department of Mechanical and Material Engineering, Worcester Polytechnic Institute, Worcester, USA., Zheng X; Department of Mathematics, College of Information Science & Technology, Jinan University, Guangzhou, Guangdong, 510632, China., Frydman G; Division of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, MA, USA; Division of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Li H; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, USA. Electronic address: he.li3@uga.edu. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Dec; Vol. 180, pp. 106732. Date of Electronic Publication: 2024 Sep 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39305783 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Qian+Y%22">Qian Y</searchLink>; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, USA.<br /><searchLink fieldCode="AU" term="%22Zhu+G%22">Zhu G</searchLink>; Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; Division of Applied Mathematics, Brown University, Providence, RI, USA.<br /><searchLink fieldCode="AU" term="%22Modepalli+S%22">Modepalli S</searchLink>; School of Medicine, Georgetown University, Washington DC, USA.<br /><searchLink fieldCode="AU" term="%22Zheng+Y%22">Zheng Y</searchLink>; Department of Mechanical and Material Engineering, Worcester Polytechnic Institute, Worcester, USA.<br /><searchLink fieldCode="AU" term="%22Zheng+X%22">Zheng X</searchLink>; Department of Mathematics, College of Information Science & Technology, Jinan University, Guangzhou, Guangdong, 510632, China.<br /><searchLink fieldCode="AU" term="%22Frydman+G%22">Frydman G</searchLink>; Division of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, MA, USA; Division of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, USA. Electronic address: he.li3@uga.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2024 Dec; Vol. 180, pp. 106732. <i>Date of Electronic Publication: </i>2024 Sep 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39305783 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2024.106732 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 106732 Titles: – TitleFull: Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qian Y – PersonEntity: Name: NameFull: Zhu G – PersonEntity: Name: NameFull: Zhang Z – PersonEntity: Name: NameFull: Modepalli S – PersonEntity: Name: NameFull: Zheng Y – PersonEntity: Name: NameFull: Zheng X – PersonEntity: Name: NameFull: Frydman G – PersonEntity: Name: NameFull: Li H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2024 Dec Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1879-2782 Numbering: – Type: volume Value: 180 Titles: – TitleFull: Neural networks : the official journal of the International Neural Network Society Type: main |
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