Flaws in the 510(k) process prevented FDA from noticing high metal-on-metal revision rates, researchers write in the New England Journal of Medicine. Their argument is based on a predicate “ancestry” analysis of DePuy’s recalled ASR hip system.
Researchers pressed FDA to start requiring PMAs for metal-on-metal hips in a Jan. 10 piece in the New England Journal of Medicine.
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The preliminary White House 2026 budget plan cuts agency funding, but not so sharply that user fees are excluded from collection.
Abbott and J&J reassured investors they will maintain their 2025 profit forecasts. Abbott projects $5.05 to $5.25 per share and plans a new $500m investment in manufacturing and R&D sites. J&J anticipates $400m in tariff-related costs but committed $55bn in US investment over four years.
Will challenges in the way of designations of notified bodies that assess AI-enabled medical devices create delays and bottlenecks and slow EU medtech innovation?
A change of government, hospital reform and a drive towards healthcare digitization are keeping German medtech manufacturers on their toes. Making the MDR more user-friendly and winning support for a medtech strategy are arguably bigger priorities. US export tariffs have also pushed their way onto the agenda. BVMed chief executive Marc-Pierre Möll puts it all into context.
Congress has launched an inquiry into 23andMe amid privacy concerns following its bankruptcy, particularly regarding the potential sale of sensitive user data. Additionally, a Cybernews report gave 40 DNA testing firms an average cybersecurity grade of D, citing widespread vulnerabilities and data breaches, along with inadequate public information about their security practices.
Will challenges in the way of designations of notified bodies that assess AI-enabled medical devices create delays and bottlenecks and slow EU medtech innovation?
Many of the hundred-plus commenters to the FDA's draft guidance on AI in medical product regulation said the document was a good start but needed additional clarity and more concrete examples. Stakeholders recommended the inclusion of case studies, metrics, and clearer guidelines to enhance the utility of the guidance, which is seen as a vital step for AI integration in healthcare.
