Multi-ancestry polygenic mechanisms of type 2 diabetes
K Smith et al, Nature Medicine, March 6, 2024 (Posted Mar 06, 2024 9AM)
Ambitious survey of human diversity yields millions of undiscovered genetic variants Analysis of the ‘All of Us’ genomic data set begins to tackle inequities in genetics research.
M Koslov, Nature, February 19, 2024 (Posted Feb 20, 2024 7AM)
AI-based diabetes care: risk prediction models and implementation concerns
SCY Wang et al, NPJ Digital Medicine, February 15, 2024 (Posted Feb 16, 2024 4PM)
Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis
A Ahmad et al, Com Med January 22, 2024 (Posted Jan 22, 2024 8AM)
Min Wang et al. Antimicrob Resist Infect Control 2024 13(1) 42
Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers' needs and preferences.
Muhammad Rafiq et al. Int J Med Inform 2024 187105447
Progression from Prediabetes to Diabetes in a Diverse US Population: a Machine Learning Model.
Joseph Aoki et al. Diabetes Technol Ther 2024
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.
Richard M Yoo et al. JMIR Med Inform 2024 12e51171
Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.
Pradeep Kumar Dabla et al. World J Diabetes 2024 15(3) 308-310
Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning.
Qiu Sky, et al. Global epidemiology 2024 0 0. 100142
Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness.
Martin Bernstorff et al. Acta Psychiatr Scand 2024
The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach.
Méndez-Astudillo Jorge, et al. Frontiers in big data 2024 0 0. 1298029
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites.
Feng He et al. J Med Internet Res 2024 26e41065
Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease.
Alessandro Pingitore et al. Int J Cardiol 2024 131981
Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.
Huien Zhou et al. Front Endocrinol (Lausanne) 2024 151344666
PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.
Giorgio Colangelo et al. Stroke 2024
Differential host responses to COVID-19: Unraveling the complexity.
Verma Vinod Kumar, et al. Diagnostic microbiology and infectious disease 2024 0 0. (2) 116281
Explainable machine learning for early predicting treatment failure risk among patients with TB-diabetes comorbidity.
An-Zhou Peng et al. Sci Rep 2024 14(1) 6814
Family Recall of and Response to Germline Pathologic Variants Found on Paired Tumor-Germline Sequencing in Pediatric Oncology.
Michelle F Jacobs et al. JCO Precis Oncol 2024 8e2300539
More attention should be paid to Omicron-associated sepsis: a multicenter retrospective study in south China.
Sang Ling, et al. Journal of thoracic disease 2024 0 0. (2) 1313-1323
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
Lianhua Liu et al. Front Endocrinol (Lausanne) 2024 151320335
The effect of SARS-COV-2 variant on non-respiratory features and mortality among vaccinated and non-fully vaccinated patients.
Cotton Shannon A, et al. Vaccine 2024 0 0.
Estimates of hospitalisations and deaths in patients with COVID-19 associated with undiagnosed diabetes during the first phase of the pandemic in eight low-income and middle-income countries: a modelling study.
Summan Amit, et al. EClinicalMedicine 2024 0 0. 102492
Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning.
Youli Jiang et al. Patient Educ Couns 2024 123108228
Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.
J Xing et al. J Endocrinol Invest 2024
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245
The descriptive epidemiology of pre-omicron SARS-CoV-2 breakthrough infections and severe outcomes in Manitoba, Canada.
Shaw Souradet Y, et al. Frontiers in epidemiology 2024 0 0. 1248847
Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial.
Phillip C Yang et al. JMIR Cardio 2024 8e45130
Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol.
Mohamad Zulfikrie Abas et al. J Public Health Res 2024 13(1) 22799036241231786
Prediction models for earlier stages of chronic kidney disease.
Mackenzie Alexiuk et al. Curr Opin Nephrol Hypertens 2024
The single nucleotide polymorphism rs4986790 (c.896A>G) in the gene TLR4 as a protective factor in corona virus disease 2019 (COVID-19).
Zacher Christoph, et al. Frontiers in immunology 2024 0 0. 1355193
Genetic determinants of SARS-CoV-2 and the clinical outcome of COVID-19 in Southern Bangladesh.
Hasan Md Mahbub, et al. Immunity, inflammation and disease 2024 0 0. (2) e1171
Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.
Fernando Korn Malerbi et al. J Diabetes Sci Technol 2024 19322968241234378
Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data.
Pedro F Teixeira et al. Diabetologia 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:Apr 25, 2024
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