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TrustFinance Global Insights
4月 28, 2026
2 min read
10

The U.S. Food and Drug Administration has initiated a pilot program to assess the use of artificial intelligence in the regulatory processes for drug and biologic development.
The program aims to establish a framework for evaluating AI-generated evidence in clinical trials, rather than to approve AI tools directly.
The FDA is accepting applications from sponsors until May 29. A select group will submit specific AI use cases for preclinical and early clinical development, focusing on areas like dose selection, translational modeling, and early trial design.
The initiative will align with the National Institute of Standards and Technology AI Risk Management Framework to evaluate model credibility and fitness for purpose, creating a consistent internal standard.
This program targets early-phase clinical trials, a critical bottleneck in drug development often marked by high uncertainty. By exploring AI, the FDA seeks to improve trial efficiency, enhance safety monitoring, and support more informed go/no-go decisions.
According to Evercore ISI, this pilot is a logical next step that begins to define a pathway for AI in clinical development, with adoption expected to be gradual over the next two or more years pending further guidance.
The pilot program marks a foundational move by the FDA to integrate AI into drug development regulation. While immediate impact is limited to participants, the findings will shape future guidance and influence long-term AI adoption strategies across the biopharmaceutical industry.
Q: What is the main goal of the FDA's AI pilot program?
A: The primary goal is to gain practical experience and develop a consistent internal framework for evaluating AI in drug development, rather than to approve specific AI tools.
Q: Who can participate in this pilot program?
A: A limited number of drug and biologic development sponsors will be selected by the FDA after an application period ending May 29.
Source: Investing.com

TrustFinance Global Insights
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