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Content provided by JIMD Podcasts and Journal of Inherited Metabolic Disease. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JIMD Podcasts and Journal of Inherited Metabolic Disease or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Continuous Glucose Monitoring in hepatic GSDs

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Manage episode 524513552 series 3001064
Content provided by JIMD Podcasts and Journal of Inherited Metabolic Disease. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JIMD Podcasts and Journal of Inherited Metabolic Disease or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the JIMD Podcast, Terry G. J. Derks, Alessandro Rossi, Sarah C. Grünert and Yunkoo Kang talk about the evolving role of continuous glucose monitoring (CGM) in liver glycogen storage diseases. The conversation spans international consensus on CGM use and an exciting deep-learning approach to predicting hypoglycaemia, pointing towards more personalised and preventive care for people living with GSD. State of the Art and Consensus Statements by Healthcare Providers, Patients, and Caregivers on Continuous Glucose Monitoring in Liver Glycogen Storage Diseases Terry G. J. Derks, et al https://doi.org/10.1002/jimd.70040 and A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease Ji Seung Ryu, et al https://www.nature.com/articles/s41598-025-97391-8
  continue reading

242 episodes

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Manage episode 524513552 series 3001064
Content provided by JIMD Podcasts and Journal of Inherited Metabolic Disease. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JIMD Podcasts and Journal of Inherited Metabolic Disease or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the JIMD Podcast, Terry G. J. Derks, Alessandro Rossi, Sarah C. Grünert and Yunkoo Kang talk about the evolving role of continuous glucose monitoring (CGM) in liver glycogen storage diseases. The conversation spans international consensus on CGM use and an exciting deep-learning approach to predicting hypoglycaemia, pointing towards more personalised and preventive care for people living with GSD. State of the Art and Consensus Statements by Healthcare Providers, Patients, and Caregivers on Continuous Glucose Monitoring in Liver Glycogen Storage Diseases Terry G. J. Derks, et al https://doi.org/10.1002/jimd.70040 and A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease Ji Seung Ryu, et al https://www.nature.com/articles/s41598-025-97391-8
  continue reading

242 episodes

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