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Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.

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Title: Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.
Authors: Arzani A; Department of Mechanical Engineering, Northern Arizona University, Flagstaff, AZ, 86011, USA. amir.arzani@nau.edu., Wang JX; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA., Sacks MS; James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Austin, TX, USA.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA., Shadden SC; Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA.
Source: Annals of biomedical engineering [Ann Biomed Eng] 2022 Jun; Vol. 50 (6), pp. 615-627. Date of Electronic Publication: 2022 Apr 20.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Arzani+A%22">Arzani A</searchLink>; Department of Mechanical Engineering, Northern Arizona University, Flagstaff, AZ, 86011, USA. amir.arzani@nau.edu.<br /><searchLink fieldCode="AU" term="%22Wang+JX%22">Wang JX</searchLink>; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.<br /><searchLink fieldCode="AU" term="%22Sacks+MS%22">Sacks MS</searchLink>; James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Austin, TX, USA.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.<br /><searchLink fieldCode="AU" term="%22Shadden+SC%22">Shadden SC</searchLink>; Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA.
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  Data: <searchLink fieldCode="JN" term="%220361512%22">Annals of biomedical engineering</searchLink> [Ann Biomed Eng] 2022 Jun; Vol. 50 (6), pp. 615-627. <i>Date of Electronic Publication: </i>2022 Apr 20.
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        Value: 10.1007/s10439-022-02967-4
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        Text: English
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      – TitleFull: Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.
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              Text: 2022 Jun
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