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An artificial intelligence decision support system for the management of type 1 diabetes

Nature metabolism, 2020-07, Vol.2 (7), p.612

2020

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291-OR: Using the Performance in Exercise and Knowledge (PEAK) Guidelines Incorporated in a Smartphone-Based Decision Support System Improves Glucose Outcomes during Free-Living Exercise

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

2022

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771-P: Acceptance of Decision Support Recommendations Improves Time in Range for People Living with Type 1 Diabetes on Multiple Daily Injections

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

2022

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Assessment of a Decision Support System for Adults with Type 1 Diabetes on Multiple Daily Insulin Injections

Diabetes technology & therapeutics, 2022-12, Vol.24 (12), p.892

2022

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Quantifying the impact of physical activity on future glucose trends using machine learning

iScience, 2022-03, Vol.25 (3), p.103888-103888, Article 103888

2022

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Predicting labor onset relative to the estimated date of delivery using smart ring physiological data

NPJ digital medicine, 2023-08, Vol.6 (1), p.153-153, Article 153

2023

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1051-P: Improving Glycemic Outcomes in T1D Using an Automated Decision Support Recommender System: Evaluation In Silico and Compared with Physician Recommendations

Diabetes (New York, N.Y.), 2019-06, Vol.68 (Supplement_1)

2019

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Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence

NPJ digital medicine, 2023-03, Vol.6 (1), p.39-39, Article 39

2023

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Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study

Biosensors (Basel), 2019-09, Vol.9 (3), p.90

2019

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Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial

The Lancet. Digital health, 2023-09, Vol.5 (9), p.e607-e617

2023

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Digital twins and artificial intelligence in metabolic disease research

Trends in endocrinology and metabolism, 2024-06, Vol.35 (6), p.549-557

2024

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Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes

IEEE journal of biomedical and health informatics, 2024, p.1-1

2024

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Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example

Journal of diabetes science and technology, 2022-01, Vol.16 (1), p.7-18

2022

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Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

IEEE reviews in biomedical engineering, 2015, Vol.8, p.98-113

2015

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IEEE_Xplore

Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning

Computers in biology and medicine, 2023-03, Vol.155, p.106670-106670, Article 106670

2023

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Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis

IEEE journal of biomedical and health informatics, 2021-06, Vol.25 (6), p.1975-1984

2021

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IEEE_Xplore

Quaternion Neural Networks Applied to Prostate Cancer Gleason Grading

2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013, p.1144-1149

2013

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IEEE_Xplore

Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections

Journal of the American Medical Informatics Association : JAMIA, 2023-12, Vol.31 (1), p.109-118

2023

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993-P: Comparison of Artificial-Intelligence Decision Support for Multiple Daily Injection Therapy with Automated Insulin Delivery after 3 Months of Use in Silico

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

2020

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Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoring

Multiple sclerosis and related disorders, 2023-11, Vol.79, p.105019-105019, Article 105019

2023

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Measuring glucose at the site of insulin delivery with a redox-mediated sensor

Biosensors & bioelectronics, 2020-10, Vol.165, p.112221-112221, Article 112221

2020

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Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

IEEE reviews in biomedical engineering, 2024-01, Vol.17, p.1-19

2024

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Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort study

Multiple sclerosis and related disorders, 2021-11, Vol.56, p.103270-103270, Article 103270

2021

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Modeling human-perceived quality for the assessment of digitized histopathology color standardization

2015 IEEE International Conference on Imaging Systems and Techniques (IST), 2015, p.1-6

2015

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Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study

Biosensors (Basel), 2019-07, Vol.9 (3)

2019

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An artificial intelligence decision support system for the management of type 1 diabetes

291-OR: Using the Performance in Exercise and Knowledge (PEAK) Guidelines Incorporated in a Smartphone-Based Decision Support System Improves Glucose Outcomes during Free-Living Exercise

771-P: Acceptance of Decision Support Recommendations Improves Time in Range for People Living with Type 1 Diabetes on Multiple Daily Injections

Assessment of a Decision Support System for Adults with Type 1 Diabetes on Multiple Daily Insulin Injections

Quantifying the impact of physical activity on future glucose trends using machine learning

Predicting labor onset relative to the estimated date of delivery using smart ring physiological data

1051-P: Improving Glycemic Outcomes in T1D Using an Automated Decision Support Recommender System: Evaluation In Silico and Compared with Physician Recommendations

Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence

Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study

Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial

Digital twins and artificial intelligence in metabolic disease research

Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes

Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example

Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning

Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis

Quaternion Neural Networks Applied to Prostate Cancer Gleason Grading

Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections

993-P: Comparison of Artificial-Intelligence Decision Support for Multiple Daily Injection Therapy with Automated Insulin Delivery after 3 Months of Use in Silico

Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoring

Measuring glucose at the site of insulin delivery with a redox-mediated sensor

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort study

Modeling human-perceived quality for the assessment of digitized histopathology color standardization

Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study

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