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AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request for Information

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Summary (from the Federal Register abstract)

The Food and Drug Administration (FDA or the Agency) is issuing this request for information to solicit input on a proposed pilot program to assess how artificial intelligence (AI)-enabled technologies can improve efficiency, speed, and quality of decision- making in early phase clinical trials. Early-phase clinical trials represent a critical bottleneck in drug development, often characterized by high uncertainty, limited patient populations, and inefficient decision- making processes. This pilot program aims to explore how advances in AI and data science can improve trial efficiency, enhance safety monitoring, facilitate dose selection decisions, and enable more informed early go/no-go decisions (e.g., a regulatory decision as to whether a Phase 1 study may proceed) while maintaining FDA's rigorous scientific and regulatory standards and promoting trustworthy AI systems. The pilot program will be guided by principles aligned with the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF).

Source: Federal Register API, document 2026-08281. Federal Register text is a U.S. government work. Confirm dates in the official document; later documents may extend, reopen or correct them.