In:
Personalized Medicine, Future Medicine Ltd, Vol. 10, No. 5 ( 2013-07), p. 453-462
Abstract:
Personalized medicine can be defined broadly as a model of healthcare that is predictive, personalized, preventive and participatory. Two US President’s Council of Advisors on Science and Technology reports illustrate challenges in personalized medicine (in a 2008 report) and in use of health information technology (in a 2010 report). Translational bioinformatics is a field that can help address these challenges and is defined by the American Medical Informatics Association as “the development of storage, analytic and interpretive methods to optimize the transformation of increasing voluminous biomedical data into proactive, predictive, preventative and participatory health.” This article discusses barriers to implementing genomics applications and current progress toward overcoming barriers, describes lessons learned from early experiences of institutions engaged in personalized medicine and provides example areas for translational bioinformatics research inquiry.
Type of Medium:
Online Resource
ISSN:
1741-0541
,
1744-828X
Language:
English
Publisher:
Future Medicine Ltd
Publication Date:
2013
SSG:
15,3
