Suchergebnisse - "Ho, Cindy N"

Quantifying Environmental Waste From Diabetes Devices in the U.S.

Autoren: Tian, Tiffany Ho, Cindy N. Ayers, Alessandra T. et al.

Quelle: Diabetes Care; Jul2025, Vol. 48 Issue 7, p1198-1203, 6p

Schlagwörter: WASTE recycling, SUSTAINABILITY, BLOOD sugar monitors, INSULIN pumps, RECYCLING management, WASTE minimization, WASTE management

Geografische Kategorien: UNITED States

The Benefits of Using Continuous Glucose Monitoring to Diagnose Type 1 Diabetes.

Autoren: Ayers, Alessandra T. Ho, Cindy N. Wong, Jenise C. et al.

Quelle: Journal of Diabetes Science & Technology; Nov2025, Vol. 19 Issue 6, p1441-1447, 7p

Glucagon-Like Peptide-1 Receptor Agonists and Peri-Procedural Aspiration Risk.

Autoren: Ho, Cindy N Ayers, Alessandra T Kohn, Michael A et al.

Quelle: Journal of the Endocrine Society; Sep2025, Vol. 9 Issue 9, p1-8, 8p

Schlagwörter: GLUCAGON-like peptide-1 agonists, PNEUMONIA, RISK assessment, RESPIRATORY aspiration, ENDOSCOPIC surgery, SURGERY, GASTRIC emptying

Firma/Körperschaft: AMERICAN Society of Anesthesiologists

FDA Interoperability Designation—Creating Options for People With Diabetes and Pump Companies: Regulatory, Technological, and Commercial Perspectives.

Autoren: Klonoff, David C. Ho, Cindy N. Ayers, Alessandra et al.

Quelle: Journal of Diabetes Science & Technology; July2025, Vol. 19 Issue 4, p869-874, 6p

Advanced Glycation End Products (AGEs) Webinar Meeting Report.

Autoren: Ho, Cindy N. Ayers, Alessandra T. Beisswenger, Paul et al.

Quelle: Journal of Diabetes Science & Technology; Mar2025, Vol. 19 Issue 2, p576-581, 6p

Importance of Cybersecurity/The Relevance of Cybersecurity to Diabetes Devices: An Update from Diabetes Technology Society.

Autoren: Ho, Cindy N. Ayers, Alessandra T. Aaron, Rachel E. et al.

Quelle: Journal of Diabetes Science & Technology; Mar2025, Vol. 19 Issue 2, p470-474, 5p

The need to transition from paper to electronic instructions for use for diabetes devices.

Autoren: Ho, Cindy N. Ayers, Alessandra T. Heinemann, Lutz et al.

Quelle: NPJ Digital Medicine; 6/13/2025, Vol. 8 Issue 1, p1-4, 4p

Schlagwörter: MEDICAL protocols, COST control, DIAGNOSTIC imaging, COMPUTER software, PATIENT safety, ECOLOGY, GREENHOUSE effect, DIGITAL health, WEARABLE technology, ELECTRONIC health records, COMPUTER assisted instruction, DIABETES, EQUIPMENT & supplies, RULES

Firma/Körperschaft: UNITED States. Food & Drug Administration

Time to Moderate and Severe Hyperglycemia and Ketonemia Following an Insulin Pump Occlusion.

Autoren: Klonoff, David C. Ayers, Alessandra T. Ho, Cindy N. et al.

Quelle: Journal of Diabetes Science & Technology; Nov2024, Vol. 18 Issue 6, p1472-1479, 8p

Consensus Report on the Use of Continuous Glucose Monitoring in Chronic Kidney Disease and Diabetes.

Autoren: Rhee, Connie M. Gianchandani, Roma Y. Kerr, David et al.

Quelle: Journal of Diabetes Science & Technology; Jan2025, Vol. 19 Issue 1, p217-245, 29p

Consensus Report on Glucagon-Like Peptide-1 Receptor Agonists as Adjunctive Treatment for Individuals With Type 1 Diabetes Using an Automated Insulin Delivery System.

Autoren: Shah, Viral N. Peters, Anne L. Umpierrez, Guillermo E. et al.

Quelle: Journal of Diabetes Science & Technology; Jan2025, Vol. 19 Issue 1, p191-216, 26p

Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review.

Autoren: Ho, Cindy N. Tian, Tiffany Ayers, Alessandra T. et al.

Quelle: BMC Medical Informatics & Decision Making; 11/26/2024, Vol. 24 Issue 1, p1-14, 14p

Schlagwörter: MACHINE learning, LANGUAGE models, ARTIFICIAL intelligence, CHATGPT, GENERATIVE pre-trained transformers

Artificial Intelligence to Diagnose Complications of Diabetes.

Autoren: Ayers, Alessandra T. Ho, Cindy N. Kerr, David et al.

Quelle: Journal of Diabetes Science & Technology; Jan2025, Vol. 19 Issue 1, p246-264, 19p

The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes

Autoren: Mader, Julia K. Wong, Jenise C. Freckmann, Guido et al.

Quelle: ISSN:1932-2968 ; Journal of Diabetes Science and Technology, vol. 19 (4), (1109-1127.

Schlagwörter: Science & Technology, Life Sciences & Biomedicine, Endocrinology & Metabolism, CGM, teplizumab, stage 2 T1D, artificial intelligence, machine learning, DAILY INSULIN INJECTIONS, ISLET AUTOIMMUNITY, LOW-CARBOHYDRATE, TOLERANCE TEST, HIGH-RISK, METRICS, PROGRESSION, CHILDREN, ADULTS, PERFORMANCE, Humans, Diabetes Mellitus, Type 1, Blood Glucose, Blood Glucose Self-Monitoring, Continuous Glucose Monitoring, 1111 Nutrition and Dietetics, 3210 Nutrition and dietetics

Relation: https://lirias.kuleuven.be/handle/20.500.12942/769298; https://doi.org/10.1177/19322968251333441; https://pubmed.ncbi.nlm.nih.gov/40444471

Verfügbarkeit: https://lirias.kuleuven.be/handle/20.500.12942/769298
https://hdl.handle.net/20.500.12942/769298
https://doi.org/10.1177/19322968251333441
https://pubmed.ncbi.nlm.nih.gov/40444471