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Artificial Intelligence in Medicine|November 3, 2022

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetesSara Rabhi, Frédéric Blanchard, Alpha Mamadou Diallo, et al.

Journal of Diabetes and Its Complications|July 8, 2018

Early predictors of diabetic retinopathy in type 1 diabetes: The Retinopathy Champagne Ardenne Diabète (ReCAD) studyAlpha Mamadou Diallo, Jean-Luc Novella, Céline Lukas, et al.

Diabetes & Metabolism|March 27, 2022

Characteristics of newly diagnosed type 1 diabetes in paediatric and adult population from Reims University Hospital, France from 1997 to 2019Aurélie Berot, Anne Gitton, Alpha Mamadou Diallo, et al.

Eclinicalmedicine|July 20, 2026

READY-T1D-assessment of Research and Service Delivery Readiness for paediatric Type 1 Diabetes: a multi-country cross-sectional studyJohn T Figi, Hugh Pearson, Salma Ahkouk, et al.

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Showing results (1-10 of 4) with videos related to

Sort By:

Pageof 1

Artificial Intelligence in Medicine|November 3, 2022

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetesSara Rabhi, Frédéric Blanchard, Alpha Mamadou Diallo, et al.

Journal of Diabetes and Its Complications|July 8, 2018

Early predictors of diabetic retinopathy in type 1 diabetes: The Retinopathy Champagne Ardenne Diabète (ReCAD) studyAlpha Mamadou Diallo, Jean-Luc Novella, Céline Lukas, et al.

Diabetes & Metabolism|March 27, 2022

Characteristics of newly diagnosed type 1 diabetes in paediatric and adult population from Reims University Hospital, France from 1997 to 2019Aurélie Berot, Anne Gitton, Alpha Mamadou Diallo, et al.

Eclinicalmedicine|July 20, 2026

READY-T1D-assessment of Research and Service Delivery Readiness for paediatric Type 1 Diabetes: a multi-country cross-sectional studyJohn T Figi, Hugh Pearson, Salma Ahkouk, et al.

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