A machine-learning approach to human ex vivo lung perfusion predicts transplantation outcomes and promotes organ utilization.

Nat Commun · 2023 · PMC10412608 · PMID 37558674

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did not reach statistical significanceno p-value reported

Although the addition of recipient features to InsighTx improved model AUROC, it did not reach statistical significance, which underscores the importance and good performance of the donor-centric approach of the InsighTx model.

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