Computational Biology of Diabetes

\r\n 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. Continued development of bioinformatics and analytical strategies has facilitated the discovery of causal links in understanding the pathophysiology of diabetes and its complications.

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  • 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
  • Computational techniques to uncover the etiology of disease
  • Innovative Bioinformatic methods for Diabetes
  • Impact of food & nutrition in diabetes management
  • Impact of physical activity & yoga therapy

Related Conference of Computational Biology of Diabetes

February 27-28, 2019

Asia Pacific Diabetes and Endocrinology Congress

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April 17-18, 2019

21st Asia Pacific Diabetes Conference

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2nd Global Experts Meeting on Diabetes, Hypertension & Metabolic Syndrome

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2nd Global Meeting on Diabetes and Endocrinology

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18th Global Conference on Diabetes & Nursing Care

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28th European Diabetes Congress

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29th World Diabetes & Heart Congress

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12th International Conference on Diabetes & Metabolism

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15th World Congress on Endocrinology & Diabetes

| Prague, Czech Republic
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| Paris, France
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27th International Diabetes and Healthcare Conference

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Computational Biology of Diabetes Conference Speakers

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