Artificial Intelligence Is Future Of Postmarketing Surveillance, US FDA’s Marks Says

CBER director’s vision for a national safety surveillance system includes use of AI and natural language processing to enable near-real time signal detection from adverse event reports.

FDA circuit board
FDA has had to bridge gaps in access to postmarketing surveillance data for COVID-19 vaccines. • Source: Nielsen Hobbs; the Pink Sheet | Shutterstock image

The US Food and Drug Administration wants to use artificial intelligence and natural language processing to improve its postmarketing safety oversight of biologics and vaccines, Center for Biologics Evaluation and Research director Peter Marks said on 10 May.

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