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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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 | | | People with early inflammatory arthritis could benefit from faster and more accurate diagnosis following a major international study that has established, for the first time, age-specific ultrasound standards to distinguish normal joint changes from the earliest signs of disease. | | | | | Together, the studies demonstrate that improving healthcare sustainability requires changes across clinical workflows, logistics, product design and recovery systems rather than focusing only on materials inside individual devices. | | | | | Muscle strain injuries are a common problem in sports, and injuries to the triceps surae, the calf muscle group that includes the gastrocnemius and soleus, can significantly affect athletic performance and return to play. | |
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