An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning (ML) strategy of adaptive predictive enrichment through computational trial phenomaps to optimize RCT enrollment….
Continue Reading