Machine learning reveals country-specific drivers of global cancer outcomes.
- DOI
- 10.1016/j.annonc.2025.11.014
- Published
- 2026 Apr
- Container
- Annals of oncology : official journal of the European Society for Medical Oncology
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.annonc.2025.11.014,
title = {Machine learning reveals country-specific drivers of global cancer outcomes.},
author = {Patel MS and Pramesh CS and Sanford NN and Feliciano EJG and Nguyen PL and Iyengar P and Kingham TP and Willmann J and Mahal BA and Lee NY and Magsanoc-Alikpala MJK and Mutebi M and Wu JF and Robredo JPG and Dee EC},
year = {2026},
journal = {Annals of oncology : official journal of the European Society for Medical Oncology},
doi = {10.1016/j.annonc.2025.11.014},
url = {https://doi.org/10.1016/j.annonc.2025.11.014}
}RIS
TY - JOUR TI - Machine learning reveals country-specific drivers of global cancer outcomes. AU - Patel MS AU - Pramesh CS AU - Sanford NN AU - Feliciano EJG AU - Nguyen PL AU - Iyengar P AU - Kingham TP AU - Willmann J AU - Mahal BA AU - Lee NY AU - Magsanoc-Alikpala MJK AU - Mutebi M AU - Wu JF AU - Robredo JPG AU - Dee EC PY - 2026 JO - Annals of oncology : official journal of the European Society for Medical Oncology DO - 10.1016/j.annonc.2025.11.014 UR - https://doi.org/10.1016/j.annonc.2025.11.014 ER -
APA
MS, P., CS, P., NN, S., EJG, F., PL, N., P, I., TP, K., J, W., BA, M., NY, L., MJK, M., M, M., JF, W., JPG, R., & EC, D. (2026). Machine learning reveals country-specific drivers of global cancer outcomes.. Annals of oncology : official journal of the European Society for Medical Oncology. https://doi.org/10.1016/j.annonc.2025.11.014
Source records
- pubmed · retrieved 2026-09-26T19:44:45.601Z