Development and validation of a machine learning clinicogenomic model to improve prognostic stratification in ER-positive/HER2-negative early breast cancer.
- DOI
- 10.1186/s13058-026-02388-4
- Published
- 2026 Sep 16
- Container
- Breast cancer research : BCR
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13058-026-02388-4,
title = {Development and validation of a machine learning clinicogenomic model to improve prognostic stratification in ER-positive/HER2-negative early breast cancer.},
author = {Sarafidis M and Sifakis EG and Bergh J and Foukakis T and Matikas A},
year = {2026},
journal = {Breast cancer research : BCR},
doi = {10.1186/s13058-026-02388-4},
url = {https://doi.org/10.1186/s13058-026-02388-4}
}RIS
TY - JOUR TI - Development and validation of a machine learning clinicogenomic model to improve prognostic stratification in ER-positive/HER2-negative early breast cancer. AU - Sarafidis M AU - Sifakis EG AU - Bergh J AU - Foukakis T AU - Matikas A PY - 2026 JO - Breast cancer research : BCR DO - 10.1186/s13058-026-02388-4 UR - https://doi.org/10.1186/s13058-026-02388-4 ER -
APA
M, S., EG, S., J, B., T, F., & A, M. (2026). Development and validation of a machine learning clinicogenomic model to improve prognostic stratification in ER-positive/HER2-negative early breast cancer.. Breast cancer research : BCR. https://doi.org/10.1186/s13058-026-02388-4
Source records
- pubmed · retrieved 2026-09-25T22:11:59.172Z