CGM, machine learning reveal dysglycemia phenotypes in type 1 diabetes

Researchers have identified three distinct patterns of dysglycemia in adolescents with type 1 diabetes using a combination of blinded continuous glucose monitoring data and machine-learning techniques, offering clinicians an opportunity to better tailor therapy, according to findings published in Pediatric Diabetes. “The study demonstrates that among adolescents with type 1 diabetes and

Source: CGM, machine learning reveal dysglycemia phenotypes in type 1 diabetes

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Stephanie Figon, MS, RDN, LD

Founder of NutriScape.NET. As a dietitian since 1992, Steph Figon has had experiences in consulting, 15 years in clinical, and has operated a private practice nutrition counseling office for since 2011. The RDNutriScape Instagram

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