Last Posted: Sep 26, 2019
- Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F Arcadu et al, NPJ Digital Medicine, September 20, 2019 - Increased incidence of obstetric complications in women carrying mitochondrial DNA mutations: a retrospective cohort study in a single tertiary centre.
Kuleva M et al. BJOG : an international journal of obstetrics and gynaecology 2019 Oct 126(11) 1372-1379 - Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques.
Xie Zidian et al. Preventing chronic disease 2019 Sep 16E130 - From Hong Kong Diabetes Register to JADE Program to RAMP-DM for Data-Driven Actions.
Chan Juliana C N et al. Diabetes care 2019 Sep - Association of Birth Weight With Type 2 Diabetes and Glycemic Traits A Mendelian Randomization Study
JAMA Network Open, 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
No hay comentarios:
Publicar un comentario