Prediction of progression to type 1 diabetes with dynamic biomarkers and risk scores
(Posted May 26, 2024 11AM)
Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes
(Posted May 03, 2024 5PM)
Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study
(Posted Apr 29, 2024 11AM)
Multi-ancestry polygenic mechanisms of type 2 diabetes
K Smith et al, Nature Medicine, March 6, 2024 (Posted Mar 06, 2024 9AM)
Krishnan Anand, et al. Journal of global health 2024 0 0. 05013
Review of the cost-effectiveness of surveillance for hereditary pancreatic cancer.
Louise Wang et al. Fam Cancer 2024
Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm.
Rhian Daniel et al. Lancet Digit Health 2024 6(6) e386-e395
COVID-19 Vaccine: Predicting Vaccine Types and Assessing Mortality Risk Through Ensemble Learning Agorithms.
Monadhel Hind, et al. F1000Research 2024 0 0. 1200
COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm.
Hamar Ágoston, et al. Scientific reports 2024 0 0. (1) 11941
Apolipoprotein ɛ4 is associated with increased risk of fall- and fracture-related hospitalisation: the Perth Longitudinal Study of Ageing Women.
Jedd Pratt et al. J Gerontol A Biol Sci Med Sci 2024
Clinical Practice Guidelines for the Care of Girls and Women with Turner Syndrome.
Claus H Gravholt et al. Eur J Endocrinol 2024
Longitudinal artificial intelligence-based deep learning models for diagnosis and prediction of the future occurrence of polyneuropathy in diabetes and prediabetes.
Yun-Ru Lai et al. Neurophysiol Clin 2024 54(4) 102982
Machine Learning-Based Predictive Modeling of Diabetic Nephropathy in Type 2 Diabetes Using Integrated Biomarkers: A Single-Center Retrospective Study.
Ying Zhu et al. Diabetes Metab Syndr Obes 2024 171987-1997
Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.
Shichai Hong et al. Technol Health Care 2024
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About Diabetes PHGKB
Diabetes PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to diabetes...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 30, 2024
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