A non-destructive methodological framework for modernizing legacy clinical reporting systems for AI-driven pharmacoinformatics: a SAS case study
Legacy clinical reporting pipelines bottleneck drug development and pharmacovigilance: they encode regulatory-grade analytical logic but produce opaque output with no machine-readable intermediate layer, resisting integration with artificial intelligence (AI). Existing modernization approaches force a choice between fu...