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

Autor: Jacobs PG; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA. Electronic address: jacobsp@ohsu.edu., Resalat N; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Hilts W; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Young GM; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Leitschuh J; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Pinsonault J; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., El Youssef J; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA., Branigan D; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA., Gabo V; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA., Eom J; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA., Ramsey K; Oregon Clinical and Translational Research Institute Biostatistics and Design Program, Oregon Health and Science University, Portland, OR, USA., Dodier R; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Mosquera-Lopez C; Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Center for Health and Healing, Oregon Health and Science University, Portland, OR, USA., Wilson LM; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA., Castle JR; Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR, USA.

Publikováno v: The Lancet. Digital health [Lancet Digit Health] 2023 Sep; Vol. 5 (9), pp. e607-e617. Date of Electronic Publication: 2023 Aug 03.

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

Autor: Mosquera-Lopez C, Wan E, Shastry M, Folsom J, Leitschuh J, Condon J, Rajhbeharrysingh U, Hildebrand A, Cameron M, Jacobs PG

Publikováno v: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2021 Jun; Vol. 25 (6), pp. 1975-1984. Date of Electronic Publication: 2021 Jun 03.

Associations between obstructive sleep apnea risk and urinary incontinence: Insights from a nationally representative survey.

Autor: Li, Bo¹ (AUTHOR) 260421592@qq.com, Li, Feng¹ (AUTHOR), Xie, Xi¹ (AUTHOR), Xiang, Chenhui¹ (AUTHOR), Li, Meilin² (AUTHOR)

Publikováno v: PLoS ONE. 11/1/2024, Vol. 19 Issue 11, p1-11. 11p.

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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 Trial.

Autor: Wilson LM; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR wilsolea@ohsu.edu., Jacobs PG; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Ramsey KL; Oregon Clinical and Translational Research Institute Biostatistics and Design Program, Oregon Health & Science University & Portland State University School of Public Health, Portland, OR., Resalat N; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Reddy R; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Branigan D; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR., Leitschuh J; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Gabo V; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR., Guillot F; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR., Senf B; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR., El Youssef J; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR.; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Steineck IIK; Steno Diabetes Center Copenhagen, Gentofte, Denmark., Tyler NS; Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR., Castle JR; Harold Schnitzer Diabetes Health Center, Division of Endocrinology, Oregon Health & Science University, Portland, OR.

Publikováno v: Diabetes care [Diabetes Care] 2020 Nov; Vol. 43 (11), pp. 2721-2729. Date of Electronic Publication: 2020 Sep 09.