Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer’s disease biomarker
- DOI
- 10.1016/j.neurot.2025.e00813
- Published
- 2026-01
- Container
- Neurotherapeutics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neurot.2025.e00813,
title = {Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer’s disease biomarker},
author = {Ran Yan and Wenhua Zhang and Wenjing Wang and Jiaqi Wu and Jun Zhang and Yingjie Xu and Wei Xu and Wen Yang},
year = {2026},
journal = {Neurotherapeutics},
doi = {10.1016/j.neurot.2025.e00813},
url = {https://doi.org/10.1016/j.neurot.2025.e00813}
}RIS
TY - JOUR TI - Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer’s disease biomarker AU - Ran Yan AU - Wenhua Zhang AU - Wenjing Wang AU - Jiaqi Wu AU - Jun Zhang AU - Yingjie Xu AU - Wei Xu AU - Wen Yang PY - 2026 JO - Neurotherapeutics DO - 10.1016/j.neurot.2025.e00813 UR - https://doi.org/10.1016/j.neurot.2025.e00813 ER -
APA
Yan, R., Zhang, W., Wang, W., Wu, J., Zhang, J., Xu, Y., Xu, W., & Yang, W. (2026). Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer’s disease biomarker. Neurotherapeutics. https://doi.org/10.1016/j.neurot.2025.e00813
Source records
- crossref · retrieved 2026-09-25T15:23:26.268Z