Barrier For Applying AI To Precision Medicine: Drug Industry Reluctance To Share Data

Eric Topol says there is not enough regulatory teeth to require companies to share data with the medical community. Experts at a workshop on the application of artificial intelligence and machine learning for precision medicine also want data and algorithms to be accessible.

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Experts noted the challenges of using artificial intelligence for precision medicine. • Source: Shutterstock

As the US Food and Drug Administration and pharmaceutical industry focus on using artificial intelligence and machine learning in drug development, access to the data and algorithms used in the field remains one of the biggest challenges.

At a 17 February workshop on "Application of AI and Machine Learning for Precision Medicine," Eric Topol, founder and director of Scripps Research Translational Institute, said companies do not want to make their data and algorithms

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