Enhancing therapeutic outcomes with artificial intelligence for HR-positive, HER2-negative metastatic breast cancer.

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Bibliographic Details
Title: Enhancing therapeutic outcomes with artificial intelligence for HR-positive, HER2-negative metastatic breast cancer.
Authors: Gomez Marti JL; Northwell Health, New Hyde Park, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Michaels E; Department of Medical Oncology, Mass General Brigham Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA., Nasrazadani A; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Wander SA; Department of Medical Oncology, Mass General Brigham Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA., Brufsky AM; Department of Medical Oncology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: brufskyam@upmc.edu.
Source: Cancer cell [Cancer Cell] 2026 Feb 09; Vol. 44 (2), pp. 254-256.
Publication Type: Journal Article; Comment
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101130617 Publication Model: Print Cited Medium: Internet ISSN: 1878-3686 (Electronic) Linking ISSN: 15356108 NLM ISO Abbreviation: Cancer Cell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-3686
DOI:10.1016/j.ccell.2026.01.004