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<i>Transplant-Agents</i> : A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers

2025-07-16

Abstract excerpt

Reproducible biomarker identification and transplant rejection risk prediction remain fundamental yet unsolved challenges in transplantation medicine. Traditional approaches rely on hypothesis-driven analyses and domain expertise, limiting scalability and generalizability across diverse populations. We introduce Transplant-Agents , a data-driven multi-agent AI framework integrating large language models (LLMs) wi...

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Cancer Genomics and Diagnostics

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Literature Corpus work: 96ac5317-bcb2-50e9-bdc7-2ce3f6898f76
DOI: 10.1101/2025.07.10.664265

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