Machine learning identifies autophagy biomarkers driving microvascular injury in cardiac ischemia/reperfusion.
- DOI
- 10.17219/acem/214581
- Published
- 2026 Sep 17
- Container
- Advances in clinical and experimental medicine : official organ Wroclaw Medical University
- 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:10.17219/acem/214581,
title = {Machine learning identifies autophagy biomarkers driving microvascular injury in cardiac ischemia/reperfusion.},
author = {Tan L and Rao J and Wang Y and Hu L and He M and Tan J and Zeng X},
year = {2026},
journal = {Advances in clinical and experimental medicine : official organ Wroclaw Medical University},
doi = {10.17219/acem/214581},
url = {https://doi.org/10.17219/acem/214581}
}RIS
TY - JOUR TI - Machine learning identifies autophagy biomarkers driving microvascular injury in cardiac ischemia/reperfusion. AU - Tan L AU - Rao J AU - Wang Y AU - Hu L AU - He M AU - Tan J AU - Zeng X PY - 2026 JO - Advances in clinical and experimental medicine : official organ Wroclaw Medical University DO - 10.17219/acem/214581 UR - https://doi.org/10.17219/acem/214581 ER -
APA
L, T., J, R., Y, W., L, H., M, H., J, T., & X, Z. (2026). Machine learning identifies autophagy biomarkers driving microvascular injury in cardiac ischemia/reperfusion.. Advances in clinical and experimental medicine : official organ Wroclaw Medical University. https://doi.org/10.17219/acem/214581
Source records
- pubmed · retrieved 2026-09-26T23:53:33.095Z