Document Detail


Personalized medicine: understanding probabilities and managing expectations.
MedLine Citation:
PMID:  20878362     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Personalized medicine promises to represent a transformation in clinical care that will be ushered in by the unprecedented growth and development in the field of human genetics. Further examination of the scientific foundations of this new hope reveals a great number of challenges that lie ahead. While basic science research feverishly races to produce solutions, we continue to wait for the translation of deliverables. Products that have and will come to market may leave our clinical communities and systems exposed and unprepared. At each step, from basic science research to infrastructure development, a great deal of creativity and investment are required before the arsenal of more personalized tools can be assimilated into our current models of health care. This commentary seeks to share perspectives on the current status of personalized medicine from the vantage point of several potential investors, and integrate them into a common set of goals and understanding. We conclude that the stylized model of personalized medicine is more akin to a marketing tool than a literal prediction of the future.
Authors:
Zachary Laksman; Allan S Detsky
Publication Detail:
Type:  Journal Article; Review     Date:  2010-09-28
Journal Detail:
Title:  Journal of general internal medicine     Volume:  26     ISSN:  1525-1497     ISO Abbreviation:  J Gen Intern Med     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-01-12     Completed Date:  2011-11-10     Revised Date:  2012-02-01    
Medline Journal Info:
Nlm Unique ID:  8605834     Medline TA:  J Gen Intern Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  204-6     Citation Subset:  IM    
Affiliation:
Department of Medicine, University of Toronto, Toronto, Canada.
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MeSH Terms
Descriptor/Qualifier:
Comprehension*
Delivery of Health Care / methods
Disease Management
Humans
Individualized Medicine / methods*
Probability*

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