Artificial intelligence-assisted reinterpretation of preclinical progeria research suggests a hierarchical nuclear-vascular resilience framework with translational implications.
- DOI
- 10.7150/ijbs.133754
- Published
- 2026
- Container
- International journal of biological sciences
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 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:10.7150/ijbs.133754,
title = {Artificial intelligence-assisted reinterpretation of preclinical progeria research suggests a hierarchical nuclear-vascular resilience framework with translational implications.},
author = {Madeddu P and Cattaneo M and Puca AA},
year = {2026},
journal = {International journal of biological sciences},
doi = {10.7150/ijbs.133754},
url = {https://doi.org/10.7150/ijbs.133754}
}RIS
TY - JOUR TI - Artificial intelligence-assisted reinterpretation of preclinical progeria research suggests a hierarchical nuclear-vascular resilience framework with translational implications. AU - Madeddu P AU - Cattaneo M AU - Puca AA PY - 2026 JO - International journal of biological sciences DO - 10.7150/ijbs.133754 UR - https://doi.org/10.7150/ijbs.133754 ER -
APA
P, M., M, C., & AA, P. (2026). Artificial intelligence-assisted reinterpretation of preclinical progeria research suggests a hierarchical nuclear-vascular resilience framework with translational implications.. International journal of biological sciences. https://doi.org/10.7150/ijbs.133754
Source records
- pubmed · retrieved 2026-09-25T04:48:16.192Z