What's New

Last Posted: Oct 23, 2020

• Epigenetic Effects of Gut Metabolites: Exploring the Path of Dietary Prevention of Type 1 Diabetes.
  Al Theyab Ahmad et al. Frontiers in nutrition 2020 7563605
• Newborn Screening Samples for Diabetes Research: An Underused Resource.
  Estrella Jane Frances Grace Lustre et al. Cells 2020 Oct 9(10)
• PRISQ: a simple risk score to screen for prediabetes: a cross-sectional study from the Qatar Biobank Cohort.
  Abbas Mostafa et al. Journal of diabetes investigation 2020 Oct
• Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
  T Gu et al, JAMA Network Open, October 21, 2020
• Predicting hypertension using machine learning: Findings from Qatar Biobank Study.
  AlKaabi Latifa A et al. PloS one 2020 15(10) e0240370
• Predictive Supervised Machine Learning Models for Diabetes Mellitus.
  Muhammad L J et al. SN computer science 2020 1(5) 240
• Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers.
  Kim Renaid B et al. Computers in biology and medicine 2020 Oct 126104042
• Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records.
  Wu Peng et al. Journal of the American Statistical Association 2020 115(529) 380-392
• Pathogenic variants in actionable MODY genes are associated with type 2 diabetes.
  Bonnefond Amélie et al. Nature metabolism 2020 Oct
• Association between family history, early growth and the risk of beta cell autoimmunity in children at risk for type 1 diabetes.
  Pacaud Danièle et al. Diabetologia 2020 Oct
• Clinical Utility of Lipoprotein(a) and LPA Genetic Risk Score in Risk Prediction of Incident Atherosclerotic Cardiovascular Disease.
  Trinder Mark et al. JAMA cardiology 2020 Oct
• The association of Interieukin-6 polymorphism (rs1800795) with microvascular complications in type 2 diabetes mellitus.
  Cui Jieyuan et al. Bioscience reports 2020 Oct
• A new index for multiple chronic conditions predicts functional outcome in ischemic stroke.
  Jiang Xiaqing et al. Neurology 2020 Oct
• Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach.
  Atuegwu Nkiruka C et al. International journal of environmental research and public health 2020 Oct 17(19)
• Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.
  Xue Mingyue et al. Journal of diabetes research 2020 20206873891
• The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.
  Fishbein Howard A et al. Healthcare (Amsterdam, Netherlands) 2020 Oct 8(4) 100458
• Development of a hypoglycaemia risk score to identify high-risk individuals with advanced type 2 diabetes in DEVOTE.
  Heller Simon et al. Diabetes, obesity & metabolism 2020 Sep
• Development of Supervised Machine Learning Algorithms for Prediction of Satisfaction at Two Years Following Total Shoulder Arthroplasty.
  Polce Evan M et al. Journal of shoulder and elbow surgery 2020 Sep
• Machine learning-aided risk stratification system for the prediction of coronary artery disease.
  Li Dan et al. International journal of cardiology 2020 Sep
• Pathology Trainee Redeployment and Education During the COVID-19 Pandemic: An Institutional Experience.
  Monroig-Bosque Paloma Del C et al. Academic pathology 72374289520953548