Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers.
- DOI
- 10.1101/2025.07.10.664265
- Published
- 2026 Jul 14
- Container
- bioRxiv : the preprint server for biology
- 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:10.1101/2025.07.10.664265,
title = {Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers.},
author = {Ding S and Bhattacharya S and Sarwal MM and Sirota M and Butte AJ},
year = {2026},
journal = {bioRxiv : the preprint server for biology},
doi = {10.1101/2025.07.10.664265},
url = {https://doi.org/10.1101/2025.07.10.664265}
}RIS
TY - JOUR TI - Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers. AU - Ding S AU - Bhattacharya S AU - Sarwal MM AU - Sirota M AU - Butte AJ PY - 2026 JO - bioRxiv : the preprint server for biology DO - 10.1101/2025.07.10.664265 UR - https://doi.org/10.1101/2025.07.10.664265 ER -
APA
S, D., S, B., MM, S., M, S., & AJ, B. (2026). Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers.. bioRxiv : the preprint server for biology. https://doi.org/10.1101/2025.07.10.664265
Source records
- pubmed · retrieved 2026-09-25T22:44:05.661Z