Evolving to Personalized Medicine for Type 2 Diabetes

S. Sethu K. Reddy

doi:10.1016/j.ecl.2016.07.001

Evolving to Personalized Medicine for Type 2 Diabetes

S. Sethu K. Reddy

Research output: Contribution to journal › Review article › peer-review

4 Scopus citations

Abstract

Type 2 diabetes is an expensive public health problem threatening society at many levels. Despite many advances in classification of diabetes, we're still in early stages of developing an etio-pathologic ontology of diabetes. Recognizing the various biologic and social determinants of disease outcomes, precision medicine applies to medical interventions as well as psychosocial measures, nutrition, and exercise that may also affect individuals differently. Using this highly personalized approach, one hopes to achieve cost-effective care. The striking evolution in generating “Big Data,” Biomarker Fingerprints, and the Internet of Things will force all clinicians to be familiar with the terminology and understand the clinical relevance.

Original language	English
Pages (from-to)	1011-1020
Number of pages	10
Journal	Endocrinology and Metabolism Clinics of North America
Volume	45
Issue number	4
DOIs	https://doi.org/10.1016/j.ecl.2016.07.001
State	Published - Dec 1 2016

Keywords

Big data
Diabetes
Genomics
Personalized
Precision
Proteomics

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10.1016/j.ecl.2016.07.001

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abstract = "Type 2 diabetes is an expensive public health problem threatening society at many levels. Despite many advances in classification of diabetes, we're still in early stages of developing an etio-pathologic ontology of diabetes. Recognizing the various biologic and social determinants of disease outcomes, precision medicine applies to medical interventions as well as psychosocial measures, nutrition, and exercise that may also affect individuals differently. Using this highly personalized approach, one hopes to achieve cost-effective care. The striking evolution in generating “Big Data,” Biomarker Fingerprints, and the Internet of Things will force all clinicians to be familiar with the terminology and understand the clinical relevance.",

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AB - Type 2 diabetes is an expensive public health problem threatening society at many levels. Despite many advances in classification of diabetes, we're still in early stages of developing an etio-pathologic ontology of diabetes. Recognizing the various biologic and social determinants of disease outcomes, precision medicine applies to medical interventions as well as psychosocial measures, nutrition, and exercise that may also affect individuals differently. Using this highly personalized approach, one hopes to achieve cost-effective care. The striking evolution in generating “Big Data,” Biomarker Fingerprints, and the Internet of Things will force all clinicians to be familiar with the terminology and understand the clinical relevance.

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KW - Genomics

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Evolving to Personalized Medicine for Type 2 Diabetes

Abstract

Keywords

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