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NON-INVASIVE METHOD FOR BLASTOCYST PLOIDY PREDICTION BASED ON ARTIFICIAL INTELLIGENCE, TIME-LAPSE IMAGES AND PATIENT PARAMETERS.

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dc.contributor.authorLorenzon, Aline R.
dc.contributor.authorJacobs, Catherine
dc.contributor.authorMilanezi De Souza, Rebeca Colauto [UNESP]
dc.contributor.authorNicolielo, Mariana
dc.contributor.authorErberelli, Renata
dc.contributor.authorBarros, Bruna
dc.contributor.authorDe Marchi, Patricia Leme
dc.contributor.authorAlegretti, Jose Roberto
dc.contributor.authorMotta, Eduardo L. A.
dc.contributor.authorGouveia Nogueira, Marcelo Fabio [UNESP]
dc.contributor.authorRocha, Jose Celso [UNESP]
dc.contributor.institutionHuntington Med Reprod
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T17:30:27Z
dc.date.available2022-04-28T17:30:27Z
dc.date.issued2021-09-01
dc.description.affiliationHuntington Med Reprod, Huntington, WV, Brazil
dc.description.affiliationHuntington Med Reprod, Sao Paulo, Brazil
dc.description.affiliationSao Paulo State Univ, Inst Biosci, Botucatu, SP, Brazil
dc.description.affiliationHuntington Med Reprod, Clin Dept, Sao Paulo, Brazil
dc.description.affiliationSao Paulo State Univ UNESP, Fac Ciencias Letras, Campus Assis, Assis, SP, Brazil
dc.description.affiliationState Univ Sao Paulo Julio Mesquita Filho, Assis, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Inst Biosci, Botucatu, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ UNESP, Fac Ciencias Letras, Campus Assis, Assis, SP, Brazil
dc.description.affiliationUnespState Univ Sao Paulo Julio Mesquita Filho, Assis, Brazil
dc.format.extentE102-E102
dc.identifier.citationFertility And Sterility. New York: Elsevier Science Inc, v. 116, n. 3, p. E102-E102, 2021.
dc.identifier.issn0015-0282
dc.identifier.urihttp://hdl.handle.net/11449/218912
dc.identifier.wosWOS:000699951500235
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofFertility And Sterility
dc.sourceWeb of Science
dc.titleNON-INVASIVE METHOD FOR BLASTOCYST PLOIDY PREDICTION BASED ON ARTIFICIAL INTELLIGENCE, TIME-LAPSE IMAGES AND PATIENT PARAMETERS.en
dc.typeResumo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.orcid0000-0002-2239-9652[10]
unesp.departmentCiências Biológicas - FCLASpt

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Assis - FCLAS - Faculdade de Ciências e Letras