FDA AI Guidance Marks a New Era for Biotech, Diagnostics and Regulatory Compliance

The U.S. Food and Drug Administration’s recent release of two draft guidance documents on the use of artificial intelligence in drug development, biologics and medical devices has sparked both excitement and skepticism. As AI increasingly permeates these fields, the regulatory landscape is just beginning to take shape—and these proposed guidelines take a step in that direction by raising awareness of important questions about the future of AI innovation in life sciences. For therapeutic, medical device and diagnostics companies—whether already implementing AI or just beginning to explore its potential—the message is clear: The landscape is evolving, and future success will require thoughtful consideration of compliance, patient safety and privacy protection from the earliest stages of AI adoption.

Read the full Alert on the Duane Morris LLP website.

Adopting Generative AI in Medtech

Given the vast amounts of data available, including raw measurements, diagnostic information, treatment plans, and regulatory guidelines, the biomedical technologies sector stands to gain immensely from artificial intelligence (AI), particularly machine learning (ML).

ML, at its core, learns from training datasets to identify patterns, which can then be applied to new input data to make direct inferences. For instance, if specific body scans frequently result in a particular diagnosis, ML can be used to quickly provide that diagnosis when similar scans are encountered, thus aiding in disease diagnosis.

Read the full article by Duane Morris partner Agatha H. Liu, PhD on the MD+DI website

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The opinions expressed on this blog are those of the author and are not to be construed as legal advice.

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