An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration
- DOI
- 10.1080/10543406.2026.2703576
- Published
- 2026-08-11
- Container
- Journal of Biopharmaceutical Statistics
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10543406.2026.2703576,
title = {An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration},
author = {Dai Feng and Amber Lind and Weili He},
year = {2026},
journal = {Journal of Biopharmaceutical Statistics},
doi = {10.1080/10543406.2026.2703576},
url = {https://doi.org/10.1080/10543406.2026.2703576}
}RIS
TY - JOUR TI - An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration AU - Dai Feng AU - Amber Lind AU - Weili He PY - 2026 JO - Journal of Biopharmaceutical Statistics DO - 10.1080/10543406.2026.2703576 UR - https://doi.org/10.1080/10543406.2026.2703576 ER -
APA
Feng, D., Lind, A., & He, W. (2026). An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration. Journal of Biopharmaceutical Statistics. https://doi.org/10.1080/10543406.2026.2703576
Source records
- crossref · retrieved 2026-09-26T05:02:09.021Z