Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant
Abstract Background Heart transplant rejection, particularly acute cellular rejection (ACR), remains a critical post-operative concern, despite declining incidence rates. Current diagnostic standards rely on invasive endomyocardial biopsy, which presents limitations in sensitivity and reproducibilit...
| 出版年: | Communications Medicine |
|---|---|
| 主要な著者: | , , , , , , , , , , , , , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Nature Portfolio
2025-07-01
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| オンライン・アクセス: | https://doi.org/10.1038/s43856-025-00999-0 |
