FEATURED EDITORIAL
Implementing And Optimizing Your eQMS
This article addresses everything that follows the signed contract for an eQMS: how a system is configured, validated, adopted, and maintained.
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In June, Brazil's ANVISA released a batch of clinical trial petitions because its review deadline had expired without a decision. Take a closer look at what medical device companies should know.
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Let's take a closer look at the scientific principles, technological progress, and translational hurdles defining the present state of microneedle research.
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Medical device document approvals seem to be a roadblock when you are the most pressed for time. But if the right approvers and document owners are defined appropriately, approval can be streamlined.
INDUSTRY INSIGHTS
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Reagent Storage In Microfluidic Cartridges: Technologies, Manufacturing Considerations, And POC Applications
Explore scalable reagent storage strategies for microfluidic diagnostics, from integrated liquid tanks and blisters to carrier-based reagent plugs designed for manufacturing efficiency.
Discover the common causes of fitting leaks, learn how to identify warning signs, and troubleshoot connections to protect fluidic performance, reliability, and results.
Learn how to identify imperial and metric fitting threads, measure thread size and pitch, avoid mismatches, and select reliable connections for life science fluidic systems.
Standard extraction protocols routinely fail tissue-derived products, hydrogels, absorbables, and silicone implants. Learn the material-specific study design strategies that prevent regulatory rejection and repeat work.
Intravitreal injectables face some of the strictest regulatory scrutiny in drug development. Learn what sponsors need to know about EU GMP Annex 1, USP standards, and container closure integrity to stay compliant.
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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