Topvas.github

The Transplant Outcome Prediction Validation Study (TOPVAS) utilizes molecular profiling and machine learning, particularly matching-based methods, to predict kidney transplant graft survival and optimize immunosuppression. By analyzing a cohort of 241 non-living donor transplants over 24 months, the study identifies transcriptomic signatures for early rejection risk and tracks long-term estimated Glomerular Filtration Rate (eGFR) trajectories. Details can be found at the official TOPVAS GitHub repository.

Introduction

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Introduction
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