Abstract
Background: Translating results from randomized clinical trials (RCTs) to individual patients in clinical practice is challenging, as treatment effects can vary substantially among individuals. Data from RCTs can be used for individualized treatment effect prediction, to identify patients who benefit from specific treatments. In this study, we developed and validated
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