Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults with Type 1 Diabetes: The DailyDose Bedtime Smart Snack Cross-over Study

<p dir="ltr">OBJECTIVE Nocturnal hypoglycemia is challenging for people with type 1 diabetes, particularly those physically active or using multiple daily injections (MDI). We hypothesized that adding bedtime decision-support to usual care with continuous glucose monitoring (CGM)-aug...

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Главный автор:	Clara Mosquera-Lopez (21701573) (author)
Другие авторы:	Valentina Roquemen-Echeverri (21701574) (author), Peter G. Jacobs (21701575) (author), Katrina Ramsey (6550106) (author), Joseph Pinsonault (21701578) (author), Jae Eom (21701579) (author), Hantao Ling (13870969) (author), Daisy Chen (21701581) (author), Deborah Branigan (9247809) (author), Jessica R. Castle (21701584) (author), Korey K. Hood (20136495) (author), Melanie B. Gillingham (228897) (author), Diana Aby-Daniel (21701587) (author), Leah M. Wilson (21701589) (author)
Опубликовано:	2025
Предметы:	Other health sciences not elsewhere classified Advisory Systems Artificial Intelligence (AI) Bedtime Neural Networks Nocturnal Glycemia Hypoglycemia Hypoglycemia Prevention and Exercise Machine Learning Decision Support
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Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults with Type 1 Diabetes: The DailyDose Bedtime Smart Snack Cross-over Study

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