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 |
| ISSN: | 2949-8201 |
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| DOI: | 10.1016/j.esmorw.2025.100662 |
