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Peter G Jacobs

Showing results (61-70 of 90) with videos related to

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Nature Metabolism|October 2, 2025
Artificial intelligence in metabolic researchJens Juul Holst, Camilla Schéele, Philipp E Scherer, et al.
The Journal of Clinical Endocrinology and Metabolism|March 5, 2024
Effect of Impaired Awareness of Hypoglycemia on Glucose Decline During and After Exercise in the T1DEXI StudyJorge L Jo Kamimoto, Zoey Li, Robin L Gal, et al.
American Journal of Physiology. Endocrinology and Metabolism|July 12, 2023
Quantifying insulin-mediated and noninsulin-mediated changes in glucose dynamics during resistance exercise in type 1 diabetesGavin M Young, Peter G Jacobs, Nichole S Tyler, et al.
Nature Metabolism|July 23, 2020
An artificial intelligence decision support system for the management of type 1 diabetesNichole S Tyler, Clara M Mosquera-Lopez, Leah M Wilson, et al.
Current Developments in Nutrition|April 19, 2024
The Association Between Diet Quality and Glycemic Outcomes Among People with Type 1 DiabetesMelanie B Gillingham, Martin Chase Marak, Michael C Riddell, et al.
Journal of the American Medical Informatics Association : JAMIA|October 9, 2023
Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injectionsClara Mosquera-Lopez, Valentina Roquemen-Echeverri, Nichole S Tyler, et al.
ECS Journal of Solid State Science and Technology : JSS|December 4, 2015
Fabrication of a Flexible Amperometric Glucose Sensor Using Additive ProcessesXiaosong Du, Christopher J Durgan, David J Matthews, et al.
The Lancet. Digital Health|August 5, 2023
Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trialPeter G Jacobs, Navid Resalat, Wade Hilts, et al.
IEEE Reviews in Biomedical Engineering|November 9, 2023
Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and OpportunitiesPeter G Jacobs, Pau Herrero, Andrea Facchinetti, et al.
Diabetes Care|September 10, 2020
Dual-Hormone Closed-Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed-Loop System Compared With a Predictive Low Glucose Suspend System: An Open-Label, Outpatient, Single-Center, Crossover, Randomized Controlled TrialLeah M Wilson, Peter G Jacobs, Katrina L Ramsey, et al.
Pageof 9

Showing results (61-70 of 90) with videos related to

Sort By:
Pageof 9
Nature Metabolism|October 2, 2025
Artificial intelligence in metabolic researchJens Juul Holst, Camilla Schéele, Philipp E Scherer, et al.
The Journal of Clinical Endocrinology and Metabolism|March 5, 2024
Effect of Impaired Awareness of Hypoglycemia on Glucose Decline During and After Exercise in the T1DEXI StudyJorge L Jo Kamimoto, Zoey Li, Robin L Gal, et al.
American Journal of Physiology. Endocrinology and Metabolism|July 12, 2023
Quantifying insulin-mediated and noninsulin-mediated changes in glucose dynamics during resistance exercise in type 1 diabetesGavin M Young, Peter G Jacobs, Nichole S Tyler, et al.
Nature Metabolism|July 23, 2020
An artificial intelligence decision support system for the management of type 1 diabetesNichole S Tyler, Clara M Mosquera-Lopez, Leah M Wilson, et al.
Current Developments in Nutrition|April 19, 2024
The Association Between Diet Quality and Glycemic Outcomes Among People with Type 1 DiabetesMelanie B Gillingham, Martin Chase Marak, Michael C Riddell, et al.
Journal of the American Medical Informatics Association : JAMIA|October 9, 2023
Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injectionsClara Mosquera-Lopez, Valentina Roquemen-Echeverri, Nichole S Tyler, et al.
ECS Journal of Solid State Science and Technology : JSS|December 4, 2015
Fabrication of a Flexible Amperometric Glucose Sensor Using Additive ProcessesXiaosong Du, Christopher J Durgan, David J Matthews, et al.
The Lancet. Digital Health|August 5, 2023
Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trialPeter G Jacobs, Navid Resalat, Wade Hilts, et al.
IEEE Reviews in Biomedical Engineering|November 9, 2023
Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and OpportunitiesPeter G Jacobs, Pau Herrero, Andrea Facchinetti, et al.
Diabetes Care|September 10, 2020
Dual-Hormone Closed-Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed-Loop System Compared With a Predictive Low Glucose Suspend System: An Open-Label, Outpatient, Single-Center, Crossover, Randomized Controlled TrialLeah M Wilson, Peter G Jacobs, Katrina L Ramsey, et al.
Pageof 9