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Applications of deep learning in medical device manufacturing

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In the August issue of ONdrugDelivery magazine, SHL’s Frederick Gertz, Manager of Data Process and Innovation, and Gilbert FluetschDirector of Automation Systems, discusses how deep learning can boost the manufacturing landscape in the medical device industry.  

In this article, thauthors shed light on the development of deep learningexplaining its evolution from machine learning, and bringing attention to how it can be applied to optimize SHL’s production processes. Drawing from SHL’s own experience with vision inspection systems, Gertz and Fluetsch detail the technical implementations behind deep learning applications on existing automation machinery. In leveraging SHL’s wealth of data generated over years of camera vision inspection on sub-assembly parts during productionthe data innovation team shows an example of how to deploy deep learning models for detecting component defects with historical data and within a shorter amount of time. According to the authors, With 30 minutes of work and a relatively small amount of data, the algorithm was able to provide a very high degree of confidence in its ability to segregate good images from bad.  

Demonstrations from real-world examples cited in the article allow readers to have a clearer understanding of how deep learning is applied in SHL’s manufacturing environment.  

To read the full article, please click here. Or, download here

About SHL Medical

As a world-leading solutions provider of advanced drug delivery systems, SHL Medical is the partner of choice for many leading pharma and biotech companies. Driven by our company purpose – Enabling Patients’ Independence – we offer patient-centric solutions for the design, development, and manufacturing of autoinjectors, pen injectors, as well as innovative specialty delivery systems for large-volume and high-viscosity formulations. We also offer final assembly, labeling, and packaging solutions for our drug delivery systems.  ​

In response to the rising trend in home therapy, SHL has increased developmental work in the digital healthcare sector to help improve the drug delivery ecosystem

Located across Switzerland, Taiwan, Sweden, and the US, our global team of experts collaborate seamlessly as one team in utilizing our comprehensive in-house manufacturing capabilities. Our solutions offer customization and optimization for each project while proactively weaving sustainability-driven measures into our designs and processes to contribute to a cleaner earth.​

For additional information, visit www.shl-medical.com

Media contact: info@shl-medical.com

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