FEATURED EDITORIAL
What Patients Actually Want From Connected Drug Delivery
A recent survey conducted with BioPhorum members revealed that the most critical aspect of digital healthcare for drug delivery devices. Let's take a closer look.
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An LLM or agentic error can occur with no component broken in any way the QMS recognizes. Classifying it takes two fields: the error type and the error origination point.
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We’ve all heard the rhetorical question, “Who owns quality?” And we all reply with the answer they expect to hear: “We all do!” This mindset needs to be fully integrated into the minds and systems of a company.
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For years, Chile has been a comparatively easy to enter market for the medtech industry. That era now has an expiration date. High-risk, technically complex products will be the most affected by a new decree.
INDUSTRY INSIGHTS
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The People Who Turn An Idea Into A Deliverable Product
Drug developers and device engineers share more common ground than their distinct disciplines suggest, facing parallel pressures around design, safety, regulatory approval, and scalable performance.
Navigate essential biotech and pharma regulations safely. Learn how unifying global standards streamlines audits and accelerates development schedules.
Implement AI in quality workflows without regulatory risk. Learn how strong governance and clear validation keep you audit-ready for compliance.
Early design alignment resolves tolerance stack-ups, controls mechanical variation, and maintains sample accuracy. Navigating process validation and automated assembly accelerates commercialization.
Early design alignment resolves tolerance stack-ups, controls mechanical variation, and maintains sample accuracy. Navigating process validation and automated assembly accelerates commercialization.
MED DEVICE ONLINE CONTENT COLLECTIONS
Artificial Intelligence and Machine Learning are taking the life sciences world by storm. Do you know how to harness its power for your medical device? Check out our latest e-book which examines the opportunities AI and ML offer to both complement and supplement human intelligence in the medical device industry.
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