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Cross-modal predictive modeling of multi-omic data in 3D airway organ tissue equivalents during viral infection.

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Title: Cross-modal predictive modeling of multi-omic data in 3D airway organ tissue equivalents during viral infection.
Authors: Rezapour M; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, United States., McNutt PM; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Ornelles DA; Microbiology Immunology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Walker SJ; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Murphy SV; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Atala A; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Source: Frontiers in genetics [Front Genet] 2025 Sep 25; Vol. 16, pp. 1658577. Date of Electronic Publication: 2025 Sep 25 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Cross-modal predictive modeling of multi-omic data in 3D airway organ tissue equivalents during viral infection.
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  Data: <searchLink fieldCode="AU" term="%22Rezapour+M%22">Rezapour M</searchLink>; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22McNutt+PM%22">McNutt PM</searchLink>; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22Ornelles+DA%22">Ornelles DA</searchLink>; Microbiology Immunology, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22Walker+SJ%22">Walker SJ</searchLink>; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22Murphy+SV%22">Murphy SV</searchLink>; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22Atala+A%22">Atala A</searchLink>; Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.<br /><searchLink fieldCode="AU" term="%22Gurcan+MN%22">Gurcan MN</searchLink>; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
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  Data: <searchLink fieldCode="JN" term="%22101560621%22">Frontiers in genetics</searchLink> [Front Genet] 2025 Sep 25; Vol. 16, pp. 1658577. <i>Date of Electronic Publication: </i>2025 Sep 25 (<i>Print Publication: </i>2025).
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