Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria.
Saved in:
| Title: | Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria. |
|---|---|
| Authors: | Cazagranda IC; Laboratório de Imunologia Molecular, Celular e Inteligência Artificial, Instituto Carlos Chagas, Fundação Oswaldo Cruz (FIOCRUZ-PR), Curitiba, Brazil., Rech D; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil., de Oliveira ST; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil., Alves FM; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil., Panis C; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil., Silveira GF; Laboratório de Imunologia Molecular, Celular e Inteligência Artificial, Instituto Carlos Chagas, Fundação Oswaldo Cruz (FIOCRUZ-PR), Curitiba, Brazil. |
| Source: | Frontiers in oncology [Front Oncol] 2026 Jun 03; Vol. 16, pp. 1824763. Date of Electronic Publication: 2026 Jun 03 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42318459 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cazagranda+IC%22">Cazagranda IC</searchLink>; Laboratório de Imunologia Molecular, Celular e Inteligência Artificial, Instituto Carlos Chagas, Fundação Oswaldo Cruz (FIOCRUZ-PR), Curitiba, Brazil.<br /><searchLink fieldCode="AU" term="%22Rech+D%22">Rech D</searchLink>; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Oliveira+ST%22">de Oliveira ST</searchLink>; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil.<br /><searchLink fieldCode="AU" term="%22Alves+FM%22">Alves FM</searchLink>; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil.<br /><searchLink fieldCode="AU" term="%22Panis+C%22">Panis C</searchLink>; Laboratório de Biologia de Tumores, Universidade Estadual do Oeste do Paraná, Francisco Beltrão, Paraná, Brazil.<br /><searchLink fieldCode="AU" term="%22Silveira+GF%22">Silveira GF</searchLink>; Laboratório de Imunologia Molecular, Celular e Inteligência Artificial, Instituto Carlos Chagas, Fundação Oswaldo Cruz (FIOCRUZ-PR), Curitiba, Brazil. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2026 Jun 03; Vol. 16, pp. 1824763. <i>Date of Electronic Publication: </i>2026 Jun 03 (<i>Print Publication: </i>2026). – 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="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42318459 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fonc.2026.1824763 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1824763 Titles: – TitleFull: Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cazagranda IC – PersonEntity: Name: NameFull: Rech D – PersonEntity: Name: NameFull: de Oliveira ST – PersonEntity: Name: NameFull: Alves FM – PersonEntity: Name: NameFull: Panis C – PersonEntity: Name: NameFull: Silveira GF IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 06 Text: 2026 Jun 03 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2234-943X Numbering: – Type: volume Value: 16 Titles: – TitleFull: Frontiers in oncology Type: main |
| ResultId | 1 |
