Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models.
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| Title: | Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. |
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| Authors: | Cosentino J; Google Health AI, Palo Alto, CA, USA. jtcosentino@google.com., Behsaz B; Google Health AI, Cambridge, MA, USA., Alipanahi B; Google Health AI, Palo Alto, CA, USA., McCaw ZR; Google Health AI, Palo Alto, CA, USA., Hill D; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA., Schwantes-An TH; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.; Division of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA., Lai D; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA., Carroll A; Google Health AI, Palo Alto, CA, USA., Hobbs BD; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Cho MH; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., McLean CY; Google Health AI, Cambridge, MA, USA., Hormozdiari F; Google Health AI, Cambridge, MA, USA. fhormoz@google.com. |
| Source: | Nature genetics [Nat Genet] 2023 May; Vol. 55 (5), pp. 787-795. Date of Electronic Publication: 2023 Apr 17. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37069358 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cosentino+J%22">Cosentino J</searchLink>; Google Health AI, Palo Alto, CA, USA. jtcosentino@google.com.<br /><searchLink fieldCode="AU" term="%22Behsaz+B%22">Behsaz B</searchLink>; Google Health AI, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Alipanahi+B%22">Alipanahi B</searchLink>; Google Health AI, Palo Alto, CA, USA.<br /><searchLink fieldCode="AU" term="%22McCaw+ZR%22">McCaw ZR</searchLink>; Google Health AI, Palo Alto, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hill+D%22">Hill D</searchLink>; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Schwantes-An+TH%22">Schwantes-An TH</searchLink>; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.; Division of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Lai+D%22">Lai D</searchLink>; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Carroll+A%22">Carroll A</searchLink>; Google Health AI, Palo Alto, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hobbs+BD%22">Hobbs BD</searchLink>; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Cho+MH%22">Cho MH</searchLink>; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22McLean+CY%22">McLean CY</searchLink>; Google Health AI, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Hormozdiari+F%22">Hormozdiari F</searchLink>; Google Health AI, Cambridge, MA, USA. fhormoz@google.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229216904%22">Nature genetics</searchLink> [Nat Genet] 2023 May; Vol. 55 (5), pp. 787-795. <i>Date of Electronic Publication: </i>2023 Apr 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Co%22">Nature Pub. Co </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9216904 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-1718 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210614036%22">10614036 </searchLink><i>NLM ISO Abbreviation: </i>Nat Genet <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37069358 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41588-023-01372-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 787 Titles: – TitleFull: Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cosentino J – PersonEntity: Name: NameFull: Behsaz B – PersonEntity: Name: NameFull: Alipanahi B – PersonEntity: Name: NameFull: McCaw ZR – PersonEntity: Name: NameFull: Hill D – PersonEntity: Name: NameFull: Schwantes-An TH – PersonEntity: Name: NameFull: Lai D – PersonEntity: Name: NameFull: Carroll A – PersonEntity: Name: NameFull: Hobbs BD – PersonEntity: Name: NameFull: Cho MH – PersonEntity: Name: NameFull: McLean CY – PersonEntity: Name: NameFull: Hormozdiari F IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2023 May Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1546-1718 Numbering: – Type: volume Value: 55 – Type: issue Value: 5 Titles: – TitleFull: Nature genetics Type: main |
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