Innovations in Diabetes Care and Management

According to scientist Injectable nanoparticles may someday eliminate the need for patients with Type 1 diabetes to constantly monitor their blood-sugar levels and inject themselves with insulin. The nanoparticles were designed to sense glucose levels in the body and respond by secreting the appropriate amount of insulin, thereby replacing the function of pancreatic islet cells, which are destroyed in patients with Type 1 diabetes. This type of system could ensure that blood-sugar levels remain balanced and improve patients’ quality of life.
Continued development of bioinformatics and analytical strategies has facilitated the discovery of causal links in understanding the pathophysiology of diabetes and its complications. Computational meta-analysis can link environmental chemicals to genes and proteins involved in human diseases, thereby elucidating possible aetiologies. The recent rapid development of a variety of analytical platforms based on mass spectrometry and nuclear magnetic resonance have enabled identification of complex metabolic Syndrome  phenotypes.
  • Computational approach to chemical etiologies of diabetes
  • Computational disease gene identification
  • Model construction processes for survival prediction
  • Computational Methods for the Early Detection of Diabetes
  • Automated Insulin Dosing Guidance to Optimize Insulin Management in Patients With Type 2 Diabetes

 

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