Computational pathology in breast cancer: optimizing molecular prediction through task-oriented AI models.

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Title: Computational pathology in breast cancer: optimizing molecular prediction through task-oriented AI models.
Authors: Frascarelli C; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Venetis K; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Marra A; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy., Concardi A; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., D'Ercole M; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Mangione E; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Negrelli M; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Porta FM; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Keswani S; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Curigliano G; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy., Guerini-Rocco E; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Fusco N; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy. nicola.fusco@ieo.it.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy. nicola.fusco@ieo.it.
Source: NPJ breast cancer [NPJ Breast Cancer] 2025 Dec 16; Vol. 11 (1), pp. 141. Date of Electronic Publication: 2025 Dec 16.
Publication Type: Journal Article; Review
Journal Info: Publisher: Breast Cancer Research Foundation Country of Publication: United States NLM ID: 101674891 Publication Model: Electronic Cited Medium: Print ISSN: 2374-4677 (Print) Linking ISSN: 23744677 NLM ISO Abbreviation: NPJ Breast Cancer Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2374-4677
DOI:10.1038/s41523-025-00857-1