What's New

Last Posted: Dec 21, 2020

• Comparison of the effects of sibling and parental history of type 2 diabetes on metabolic syndrome.
  Chiu Hsuan et al. Scientific reports 2020 Dec 10(1) 22131
• Identifying Diabetic Macular Edema and Other Retinal Diseases by Optical Coherence Tomography Image and Multiscale Deep Learning.
  Zhang Quan et al. Diabetes, metabolic syndrome and obesity : targets and therapy 2020 134787-4800
• Updated guidance on the management of children with cystic fibrosis transmembrane conductance regulator-related metabolic syndrome/cystic fibrosis screen positive, inconclusive diagnosis (CRMS/CFSPID).
  Barben Jürg et al. Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society 2020 Nov
• Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.
  Eyvazlou Meysam et al. BMC endocrine disorders 2020 Nov 20(1) 169
• Inconclusive Diagnosis after Newborn Screening for Cystic Fibrosis.
  Munck Anne et al. International journal of neonatal screening 2020 Mar 6(1) 19
• Should You Recommend Direct-to-Consumer Genetic Testing for This Patient? : Grand Rounds Discussion From Beth Israel Deaconess Medical Center.
  Smetana Gerald W et al. Annals of internal medicine 2020 Oct 173(7) 563-571
• Clinical characterization of data-driven diabetes subgroups in Mexicans using a reproducible machine learning approach.
  Bello-Chavolla Omar Yaxmehen et al. BMJ open diabetes research & care 2020 Jul 8(1)
• Dietary Recommendations for Familial Hypercholesterolaemia: an Evidence-Free Zone.
  Diamond David M et al. BMJ evidence-based medicine 2020 Jul
• Initial regional evaluation of the Cystic Fibrosis Newborn Screening Program: data from the Mediterranean coast of Turkey
  Basaran Abdurrahman Erdem et al. Turkish journal of medical sciences 2019 49(6) 1655-1661
• A new screening strategy and whole-exome sequencing for the early diagnosis of maturity-onset diabetes of the young.
  Liu Yue et al. Diabetes/metabolism research and reviews 2020 Jul e3381
• Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach.
  Yu Cheng-Sheng et al. Journal of medical Internet research 2020 Jun 22(6) e18585
• Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome.
  Patlar Akbulut Fatma et al. Artificial intelligence in medicine 2020 Apr 104101824
• Blood-based analysis of 84 microRNAs identifies molecules deregulated in individuals with type-2 diabetes, risk factors for the disease or metabolic syndrome.
  Avgeris Margaritis et al. Diabetes research and clinical practice 2020 Apr 108187
• New clinical screening strategy to distinguish HNF1A variant-induced diabetes from young early-onset type 2 diabetes in a Chinese population.
  Ma Yumin et al. BMJ open diabetes research & care 2020 Mar 8(1)
• Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically.
  Liu Yuliang et al. Diabetes, metabolic syndrome and obesity : targets and therapy 2020 13679-691