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Diabetes PHGKB

Specific PHGKB|Diabetes PHGKB|PHGKB

Last Posted: Mar 02, 2021
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Successful incorporation of a genetic risk prediction research platform into routine newborn screening
OM Bendor-Samuel et al, MEDRXIV, March 1, 2021

Between April 2018 and November 2020, over 15500 babies were enrolled into INGR1D (Investigating Genetic Risk for T1D), a research study to identify newborns with an increased genetic risk of T1D. This project, performed as part of a T1D primary prevention study (the Primary Oral Insulin Trial, POInT), has helped to pioneer the integration of genetic screening into the NHS Newborn Blood Spot Screening Program (NBSSP) for consenting mothers, without affecting the screening pathway.

Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
M Ravaut et al, NPJ Digital Medicine, February 12, 2021

Through the design and validation of a high-performance model to predict diabetes complications adverse outcomes at the population level, we demonstrate the potential of machine learning and administrative health data to inform health planning and healthcare resource allocation for diabetes management.

A tongue features fusion approach to predicting prediabetes and diabetes with machine learning.
Li Jun et al. Journal of biomedical informatics 2021 Feb 103693

We can prevent the progression of prediabetics to diabetics and delay the progression to diabetics by early identification of diabetics and prediabetics and timely intervention, which have positive significance for improving public health.Using machine learning techniques, we establish the noninvasive diabetics risk prediction model based on tongue features fusion and predict the risk of prediabetics and diabetics.

What People with Disabilities and Care Providers Need to Know About the COVID-19 Vaccine
CDC, February 2021

People with disabilities are more likely to have health conditions that put them at a higher risk to get very sick from COVID-19. Some of these conditions are diabetes, cancer, and heart disease. Another is obesity. Talk to your doctor about your health conditions that may put you at higher risk for getting very sick from COVID-19 and about getting a vaccine.


news Latest News and Publications
Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis. External Web Site Icon
Kaplan Alan et al. The journal of allergy and clinical immunology. In practice 2021
Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes. External Web Site Icon
Xia Shu-Jie et al. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2021 Feb 137111367
Use of Clopidogrel and Proton Pump Inhibitors Alone or in Combinations in Persons with Diabetes in Denmark; Potential for CYP2C19 Genotype-Guided Drug Therapy. External Web Site Icon
Westergaard Niels et al. Metabolites 2021 Feb 11(2)
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. External Web Site Icon
Zheng Hua et al. Drugs 2021 Feb
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. External Web Site Icon
MacLean Matthew T et al. Journal of the American Medical Informatics Association : JAMIA 2021 Feb
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data External Web Site Icon
M Ravaut et al, NPJ Digital Medicine, February 12, 2021
Genome-wide genetic links between amyotrophic lateral sclerosis and autoimmune diseases. External Web Site Icon
Li Chun Yu et al. BMC medicine 2021 Feb 19(1) 27
Implementation outcomes of Humanwide: integrated precision health in team-based family practice primary care. External Web Site Icon
Brown-Johnson Cati G et al. BMC family practice 2021 Feb 22(1) 28
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning. External Web Site Icon
Li Jun et al. Journal of biomedical informatics 2021 Feb 103693
Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment. External Web Site Icon
Kang Sung Hoon et al. Journal of Alzheimer's disease : JAD 2021 Jan

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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics 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.

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