Last Posted: Sep 21, 2019
- Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F Arcadu et al, NPJ Digital Medicine, September 20, 2019 - Precision medicine in diabetes.
Kalra Sanjay et al. JPMA. The Journal of the Pakistan Medical Association 2019 Sep 69(9) 1394-1395 - Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Nguyen Binh P et al. Computer methods and programs in biomedicine 2019 Aug 182105055 - Hispanic/Latino Americans and Type 2 Diabetes
CDC, 2019 - New Opportunities With School-Based Telehealth: Convenient Connections to Care.
Frey Sean M et al. JAMA pediatrics 2019 Sep - First hint that body’s ‘biological age’ can be reversed-In a small trial, drugs seemed to rejuvenate the body’s ‘epigenetic clock’, which tracks a person’s biological age.
A Abbot, Nature, September 2019 - Lack Of Diversity In Genetic Databases Hampers Research
R Harris, NPR, August 22, 2019 - Type 1 Diabetes Advances Could Pave Way for Prevention
J Abbasi, JAMA, August 21, 2019 - Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.
Makino Masaki et al. Scientific reports 2019 Aug 9(1) 11862 - Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.
Wong Tien Yin et al. Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde 2019 Aug 1-12
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