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Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma — Europe PMC PMID:41476960
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/41476960
- DOI
- 10.3389/fimmu.2025.1727099
- License (as archived)
- solo-consultazione
- Archived
- 2026-11-07T14:50:37.603Z
- SHA-256 of the archived text
087f103c35af6f119676d720f4769b5ac213bdfd80712a0af329d5e69b3339c1- Stable URL of this page
https://metraipolis.com/documento/dc_2aced8ef2e4d
How to cite
Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma — Europe PMC PMID:41476960 — Europe PMC (en), https://europepmc.org/article/MED/41476960 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_2aced8ef2e4d (Metraipolis archive dc_2aced8ef2e4d, sha256 087f103c35af6f119676d720f4769b5ac213bdfd80712a0af329d5e69b3339c1)
BibTeX
@misc{dc2aced8ef2e4d,
title = {Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma — Europe PMC PMID:41476960},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/41476960},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_2aced8ef2e4d; sha256 087f103c35af6f119676d720f4769b5ac213bdfd80712a0af329d5e69b3339c1},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41476960. Agents can read the archived copy with the MCP tool read_document.