The transformative role of artificial intelligence in diabetes care and research.

Canha, Dulce; Bour, Charline; Barraud, Sara; Aguayo, Gloria; Fagherazzi, Guy

Canha, Dulce; Bour, Charline; Barraud, Sara; Aguayo, Gloria; Fagherazzi, Guy.

Affiliation

Canha D; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg; Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg.
Bour C; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg; Université Grenoble Alpes, Fonds de Dotation Clinatec, 38000 Grenoble, France.
Barraud S; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg; Université de Reims Champagne-Ardenne, CHU Reims, CRESTIC, Service d'Endocrinologie Diabète Nutrition, Reims, France.
Aguayo G; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg.
Fagherazzi G; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg. Electronic address: Guy.Fagherazzi@lih.lu.

Diabetes Metab ; 50(5): 101565, 2024 Sep.

Article in En | MEDLINE | ID: mdl-39074767

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Diabetes Mellitus Limits: Humans Language: En Journal: Diabetes Metab / Diabetes and metabolism / Diabetes metab Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2024 Document type: Article Affiliation country: Luxemburgo Country of publication: Francia

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