Contribution of machine learning to tumor growth inhibition modeling for hepatocellular carcinoma patients under Roblitinib (FGF401) drug treatment.

CPT Pharmacometrics Syst Pharmacol · 2022 · PMC9381917 · PMID 35728123

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highly significantno p-value reported

However, this composite risk score appears to be useful and relevant, as it was found to be highly significant on the PK/PD resistance parameter, and to explain a part of its variability.

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