Biology of Diabetes

Computational meta-analysis can link environmental chemicals to genes and proteins involved in human diseases, thereby elucidating possible etiologies. 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.

  • Computational Approach to chemical etiologies of diabetes
  • Computational disease gene identification
  • Computational technique to discover the etiology of the disease
  • Molecular imaging analysis of Diabetes

Related Conference of Biology of Diabetes

October 30- November 1, 2017

9th Annual Congress on Endocrine Disorders and Therapies


(10 Plenary Forums - 1 Event)
Chicago, Illinois, USA
October 30-November 01, 2017

10th International Conference on Endocrinology

Chicago, Illinois, USA
December 04-05, 2017

25th Global Diabetes Summit and Medicare Expo

Dubai, UAE
February 12-13,2018

7th European Diabetes and Endocrinology Congress

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March 8-9, 2018

17th Global Diabetes Conference & Nursing Care

| Paris, France
May 23-24, 2018

11th Diabetologists Conference

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June 11-12, 2018

27th European Diabetes Congress

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July 9-11, 2018 Sydney, Australia

20th Asia Pacific Diabetes Conference

August 20-22, 2018

28th World Congress on Diabetes, Obesity & Heart

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September 03-04, 2018

2nd International Conference on Thyroid and Pregnancy

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September 3-5, 2018

11th World Congress on Endocrinology and Metabolic Disorders

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Biology of Diabetes Conference Speakers