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The latest medical device news from News Medical |
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 Using ML to streamline E&L screening and toxicological risk assessment
Extractables and leachables screening can hinge on uncertain surrogate calibration. In this Q&A, Jordi Labs explains how Lumo applies machine learning to predict LC-MS response factors, reduce standards dependency, flag low-confidence results, and support faster, more defensible toxicological risk assessments for medical device chemical characterization workflows.
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| | |  In the neonatal intensive care unit, the most fragile patients in medicine are often the most heavily wired. Premature babies, some weighing less than a pound, can be tethered to a tangle of cables, monitors, and sensors. | | | | |  A breakthrough combination of new silicone materials and advanced 3D printing technology developed by University of Waterloo researchers could transform how contact lenses are manufactured. | | | | |  A team of crew members aboard a commercial spaceflight acquired the first diagnostic X-rays during an orbital flight. | |
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