The Traceability Debt Building Inside AI-Native Drug Discovery
Closed-loop AI discovery platforms are compressing timelines faster than biopharma governance functions can build the audit trail regulators will eventually demand.
Closed-loop AI discovery platforms are compressing timelines faster than biopharma governance functions can build the audit trail regulators will eventually demand.
As generative AI moves into candidate generation and synthesis, sponsors must build data lineage and model audit trails before IND filing, not after.
AI-driven reanalysis of failed clinical trials is producing new evidence outside the systems built to validate it, and GxP quality frameworks have not caught up.
Drug discovery and trial AI are proving their financial return faster than sponsors are building the validation records to defend that work at inspection.