Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105844
DC FieldValueLanguage
dc.contributor.authorCrespo, Andrea-
dc.contributor.authorAlfaro, Tiago-
dc.contributor.authorSomogyi, Vivien-
dc.contributor.authorKreuter, Michael-
dc.date.accessioned2023-03-10T12:10:31Z-
dc.date.available2023-03-10T12:10:31Z-
dc.date.issued2020-09-
dc.identifier.issn1810-6838pt
dc.identifier.urihttps://hdl.handle.net/10316/105844-
dc.description.abstractA molecular classifier using a machine-learning algorithm based on genomic data could provide an objective method to aid clinicians and multidisciplinary teams to establish the diagnosis of IPF in less-invasive transbronchial lung biopsy samples https://bit.ly/2QLdWim.pt
dc.language.isoengpt
dc.publisherEuropean Respiratory Societypt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt
dc.titleUpdates in using a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samplespt
dc.typearticle-
degois.publication.firstPage200067pt
degois.publication.issue3pt
degois.publication.titleBreathept
dc.peerreviewedyespt
dc.identifier.doi10.1183/20734735.0067-2020pt
degois.publication.volume16pt
dc.date.embargo2020-09-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
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