Last Posted: May 15, 2020
- A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
C Sabanyagam et al, The Lancet Digital Health, May 2020 - Opportunistic deep learning of retinal photographs: the window to the body revisited
SM Waldstein, Lancet Digital Health, May 14, 2020 - Cohort-derived machine learning models for individual prediction of chronic kidney disease in people living with HIV: a prospective multicentre cohort study.
Roth Jan A et al. The Journal of infectious diseases 2020 May - Genetics and ESKD Disparities in African Americans.
Umeukeje Ebele M et al. American journal of kidney diseases : the official journal of the National Kidney Foundation 2019 74(6) 811-821 - Applications of machine learning methods in kidney disease: hope or hype?
Chan Lili et al. Current opinion in nephrology and hypertension 2020 May 29(3) 319-326 - Implementation of a Renal Precision Medicine Program: Clinician Attitudes and Acceptance.
Spiech Katherine M et al. Life (Basel, Switzerland) 2020 Mar 10(4) - Genetic tests in children with steroid-resistant nephrotic syndrome.
Cheong Hae Il et al. Kidney research and clinical practice 2020 Mar - Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation.
Li Ningshan et al. Journal of translational medicine 2020 Mar 18(1) 120 - How artificial kidneys and miniaturized dialysis could save millions of lives
C Huff, Nature News, March 11, 2020 - Prediction Rule for Nonresponse to Clopidogrel: ABCD-GENE Score
ACC, March 3, 2020
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