View in EDS HTML Full Text PDF Full Text

Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.

Saved in:
Bibliographic Details
Title: Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.
Authors: Araújo DC; Huna, São Paulo, SP, Brazil. dani@huna-ai.com.; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. dani@huna-ai.com., Simões R; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.; Faculdade Ciências Médicas de Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Sabino AP; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Oliveira AN; Instituto de Hipertensão, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Oliveira CM; Division of Sleep Surgery, Stanford University School of Medicine, Stanford, CA, USA., Veloso AA; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Gomes KB; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 May; Vol. 63 (5), pp. 1535-1550. Date of Electronic Publication: 2025 Jan 20.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39828884
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Araújo+DC%22">Araújo DC</searchLink>; Huna, São Paulo, SP, Brazil. dani@huna-ai.com.; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. dani@huna-ai.com.<br /><searchLink fieldCode="AU" term="%22Simões+R%22">Simões R</searchLink>; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.; Faculdade Ciências Médicas de Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.<br /><searchLink fieldCode="AU" term="%22Sabino+AP%22">Sabino AP</searchLink>; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.<br /><searchLink fieldCode="AU" term="%22Oliveira+AN%22">Oliveira AN</searchLink>; Instituto de Hipertensão, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.<br /><searchLink fieldCode="AU" term="%22Oliveira+CM%22">Oliveira CM</searchLink>; Division of Sleep Surgery, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Veloso+AA%22">Veloso AA</searchLink>; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.<br /><searchLink fieldCode="AU" term="%22Gomes+KB%22">Gomes KB</searchLink>; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2025 May; Vol. 63 (5), pp. 1535-1550. <i>Date of Electronic Publication: </i>2025 Jan 20.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39828884
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11517-025-03289-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1535
    Titles:
      – TitleFull: Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Araújo DC
      – PersonEntity:
          Name:
            NameFull: Simões R
      – PersonEntity:
          Name:
            NameFull: Sabino AP
      – PersonEntity:
          Name:
            NameFull: Oliveira AN
      – PersonEntity:
          Name:
            NameFull: Oliveira CM
      – PersonEntity:
          Name:
            NameFull: Veloso AA
      – PersonEntity:
          Name:
            NameFull: Gomes KB
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: 2025 May
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1741-0444
          Numbering:
            – Type: volume
              Value: 63
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Medical & biological engineering & computing
              Type: main
ResultId 1