How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer.
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| Title: | How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer. |
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| Authors: | Ruelle T; UO Clinica Oncologia Medica, IRCSS Ospedale Policlinico San Martino, Genoa, Italy.; Department of Medical Oncology, Gustave Roussy, Villejuif, France., Grinda T; Department of Medical Oncology, Gustave Roussy, Villejuif, France., Del Mastro L; UO Clinica Oncologia Medica, IRCSS Ospedale Policlinico San Martino, Genoa, Italy.; Department of Internal Medicine and Medical Specialties (DIMI), Università di Genova, Genoa, Italy., Lacroix-Triki M; Department of Pathology, Gustave Roussy Cancer Campus, Villejuif, France., Pistilli B; Department of Medical Oncology, Gustave Roussy, Villejuif, France.; Gustave Roussy, Inserm, Endocytose, cytosquelette et migration cellulaire, U1279, Villejuif, France., Gessain G; Department of Pathology, Gustave Roussy Cancer Campus, Villejuif, France.; Universitè Paris-Citè, Facultè de Sante, Paris, France. |
| Source: | ESMO real world data and digital oncology [ESMO Real World Data Digit Oncol] 2026 Jan 06; Vol. 11, pp. 100662. Date of Electronic Publication: 2026 Jan 06 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Elsevier Ltd Country of Publication: England NLM ID: 9919053637506676 Publication Model: eCollection Cited Medium: Internet ISSN: 2949-8201 (Electronic) Linking ISSN: 29498201 NLM ISO Abbreviation: ESMO Real World Data Digit Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41930306 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ruelle+T%22">Ruelle T</searchLink>; UO Clinica Oncologia Medica, IRCSS Ospedale Policlinico San Martino, Genoa, Italy.; Department of Medical Oncology, Gustave Roussy, Villejuif, France.<br /><searchLink fieldCode="AU" term="%22Grinda+T%22">Grinda T</searchLink>; Department of Medical Oncology, Gustave Roussy, Villejuif, France.<br /><searchLink fieldCode="AU" term="%22Del+Mastro+L%22">Del Mastro L</searchLink>; UO Clinica Oncologia Medica, IRCSS Ospedale Policlinico San Martino, Genoa, Italy.; Department of Internal Medicine and Medical Specialties (DIMI), Università di Genova, Genoa, Italy.<br /><searchLink fieldCode="AU" term="%22Lacroix-Triki+M%22">Lacroix-Triki M</searchLink>; Department of Pathology, Gustave Roussy Cancer Campus, Villejuif, France.<br /><searchLink fieldCode="AU" term="%22Pistilli+B%22">Pistilli B</searchLink>; Department of Medical Oncology, Gustave Roussy, Villejuif, France.; Gustave Roussy, Inserm, Endocytose, cytosquelette et migration cellulaire, U1279, Villejuif, France.<br /><searchLink fieldCode="AU" term="%22Gessain+G%22">Gessain G</searchLink>; Department of Pathology, Gustave Roussy Cancer Campus, Villejuif, France.; Universitè Paris-Citè, Facultè de Sante, Paris, France. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229919053637506676%22">ESMO real world data and digital oncology</searchLink> [ESMO Real World Data Digit Oncol] 2026 Jan 06; Vol. 11, pp. 100662. <i>Date of Electronic Publication: </i>2026 Jan 06 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9919053637506676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2949-8201 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229498201%22">29498201 </searchLink><i>NLM ISO Abbreviation: </i>ESMO Real World Data Digit Oncol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41930306 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.esmorw.2025.100662 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100662 Titles: – TitleFull: How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ruelle T – PersonEntity: Name: NameFull: Grinda T – PersonEntity: Name: NameFull: Del Mastro L – PersonEntity: Name: NameFull: Lacroix-Triki M – PersonEntity: Name: NameFull: Pistilli B – PersonEntity: Name: NameFull: Gessain G IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 01 Text: 2026 Jan 06 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2949-8201 Numbering: – Type: volume Value: 11 Titles: – TitleFull: ESMO real world data and digital oncology Type: main |
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