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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Journal of medical Internet research, 2023-02, Vol.25 (1), p.e42181-e42181

2023

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Metabolic Effects of Glucose-Fructose Co-Ingestion Compared to Glucose Alone during Exercise in Type 1 Diabetes

Nutrients, 2017-02, Vol.9 (2), p.164-164

2017

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Assessment of three frequently used blood glucose monitoring devices in clinical routine

Swiss medical weekly, 2012-07, Vol.142, p.w13631

2012

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Exercise-induced GH secretion in the assessment of GH deficiency in adult individuals

European journal of endocrinology, 2011-11, Vol.165 (5), p.723-728

2011

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Computed exercise plasma lactate concentrations: A conversion formula

Practical laboratory medicine, 2016-04, Vol.4, p.11-15

2016

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Lower Daily Carbohydrate Intake Is Associated With Improved Glycemic Control in Adults With Type 1 Diabetes Using a Hybrid Closed-Loop System

Diabetes care, 2020-12, Vol.43 (12), p.3102-3105

2020

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Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data

Diabetes care, 2023-05, Vol.46 (5), p.993-997

2023

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Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

Diabetes technology & therapeutics, 2022-11, Vol.24 (11), p.842-847

2022

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Glucocorticoid Replacement and Mortality in Patients with Nonfunctioning Pituitary Adenoma

The journal of clinical endocrinology and metabolism, 2012-10, Vol.97 (10), p.E1938-E1942

2012

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Accuracy of continuous glucose monitoring during differing exercise conditions

Diabetes research and clinical practice, 2016-02, Vol.112, p.1-5

2016

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White coat adherence effect on glucose control in adult individuals with diabetes

Diabetes research and clinical practice, 2020-10, Vol.168, p.108392-108392, Article 108392

2020

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Liraglutide for Children 6 to <12 Years of Age with Obesity — A Randomized Trial

The New England journal of medicine, 2024-09

2024

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Closing the Loop – wie nahe ist man heute am künstlichen Pankreas?

Swiss medical forum, 2018-01, Vol.18 (4)

2018

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Use and Perception of Telemedicine in People with Type 1 Diabetes During the COVID-19 Pandemic: A 1-Year Follow-Up

Diabetes technology & therapeutics, 2022-04, Vol.24 (4), p.276-280

2022

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Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress

Diabetes, obesity & metabolism, 2024-03, Vol.26 (3), p.1133-1136

2024

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Use and perception of telemedicine in people with type 1 diabetes during the COVID‐19 pandemic—Results of a global survey

Endocrinology, diabetes & metabolism, 2021-01, Vol.4 (1), p.e00180-n/a

2021

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Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

Diabetes, obesity & metabolism, 2023-06, Vol.25 (6), p.1668-1676

2023

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Metabolic and hormonal response to intermittent high-intensity and continuous moderate intensity exercise in individuals with type 1 diabetes: a randomised crossover study

Diabetologia, 2016-04, Vol.59 (4), p.776-784

2016

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5-LB: A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving

Diabetes (New York, N.Y.), 2021-06, Vol.70 (Supplement_1)

2021

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Carbohydrate Estimation Supported by the GoCARB System in Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study

Diabetes care, 2017-02, Vol.40 (2), p.e6-e7

2017

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234-OR: Noninvasive Hypoglycemia Detection during Real Car Driving Using In-Vehicle Data

Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1)

2022

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Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season

Diabetes, obesity & metabolism, 2023-09, Vol.25 (9), p.2616-2625

2023

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45-LB: Introduction of the Diabetes Exercise Perception (DEEP-1) Questionnaire for Assessing Perceived Attitudes and Challenges in Athletes with Type 1 Diabetes

Diabetes (New York, N.Y.), 2020-06, Vol.69 (Supplement_1)

2020

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44-LB: Training Load and Time-in-Range Affect Sleep Time of Professional Cyclists with Type 1 Diabetes

Diabetes (New York, N.Y.), 2020-06, Vol.69 (Supplement_1)

2020

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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Metabolic Effects of Glucose-Fructose Co-Ingestion Compared to Glucose Alone during Exercise in Type 1 Diabetes

Assessment of three frequently used blood glucose monitoring devices in clinical routine

Exercise-induced GH secretion in the assessment of GH deficiency in adult individuals

Computed exercise plasma lactate concentrations: A conversion formula

Lower Daily Carbohydrate Intake Is Associated With Improved Glycemic Control in Adults With Type 1 Diabetes Using a Hybrid Closed-Loop System

Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data

Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

Glucocorticoid Replacement and Mortality in Patients with Nonfunctioning Pituitary Adenoma

Accuracy of continuous glucose monitoring during differing exercise conditions

White coat adherence effect on glucose control in adult individuals with diabetes

Liraglutide for Children 6 to <12 Years of Age with Obesity — A Randomized Trial

Closing the Loop – wie nahe ist man heute am künstlichen Pankreas?

Use and Perception of Telemedicine in People with Type 1 Diabetes During the COVID-19 Pandemic: A 1-Year Follow-Up

Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress

Use and perception of telemedicine in people with type 1 diabetes during the COVID‐19 pandemic—Results of a global survey

Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

Metabolic and hormonal response to intermittent high-intensity and continuous moderate intensity exercise in individuals with type 1 diabetes: a randomised crossover study

5-LB: A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving

Carbohydrate Estimation Supported by the GoCARB System in Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study

234-OR: Noninvasive Hypoglycemia Detection during Real Car Driving Using In-Vehicle Data

Differences in Physiological Responses to Cardiopulmonary Exercise Testing in Adults With and Without Type 1 Diabetes: A Pooled Analysis

Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season

45-LB: Introduction of the Diabetes Exercise Perception (DEEP-1) Questionnaire for Assessing Perceived Attitudes and Challenges in Athletes with Type 1 Diabetes

44-LB: Training Load and Time-in-Range Affect Sleep Time of Professional Cyclists with Type 1 Diabetes

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