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Proteomics in Personalized Medicine: An Evolution Not a Revolution

Proteomics in Personalized Medicine: An Evolution Not a Revolution

Srijan Goswami
Copyright: © 2018 |Pages: 19
ISBN13: 9781522526070|ISBN10: 1522526072|EISBN13: 9781522526087
DOI: 10.4018/978-1-5225-2607-0.ch004
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MLA

Goswami, Srijan. "Proteomics in Personalized Medicine: An Evolution Not a Revolution." Applying Big Data Analytics in Bioinformatics and Medicine, edited by Miltiadis D. Lytras and Paraskevi Papadopoulou, IGI Global, 2018, pp. 80-98. https://doi.org/10.4018/978-1-5225-2607-0.ch004

APA

Goswami, S. (2018). Proteomics in Personalized Medicine: An Evolution Not a Revolution. In M. Lytras & P. Papadopoulou (Eds.), Applying Big Data Analytics in Bioinformatics and Medicine (pp. 80-98). IGI Global. https://doi.org/10.4018/978-1-5225-2607-0.ch004

Chicago

Goswami, Srijan. "Proteomics in Personalized Medicine: An Evolution Not a Revolution." In Applying Big Data Analytics in Bioinformatics and Medicine, edited by Miltiadis D. Lytras and Paraskevi Papadopoulou, 80-98. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2607-0.ch004

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Abstract

The idea of personalized medicine system is an evolution of holistic approach of treatment and in more evidence based manner. The chapter begins with an introduction of how body system works naturally and impact of modern medicine on overall health, followed by a historical background and brief review of literature providing the description that the concept of personalized medicine is not new but a very old ideology which stayed neglected until the development in the field of medical genetics, followed by the role of omics in modern medicine, the comparison of modern medicine and personalized medicine, medical concepts relevant to proteomics in personalized medicine, impact of proteomics in drug development and clinical safety and finally closing the chapter with future prospects and challenges of proteomics in personalized medicine.

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