Regular price €65.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Board on Health Care Services
A01=Board on Health Sciences Policy
A01=Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials
A01=Institute of Medicine
Age Group_Uncategorized
Age Group_Uncategorized
Author_Board on Health Care Services
Author_Board on Health Sciences Policy
Author_Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials
Author_Institute of Medicine
automatic-update
B01=Christine M. Micheel
B01=Gilbert S. Omenn
B01=Sharly J. Nass
Category1=Non-Fiction
Category=PSD
COP=United States
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

Product details

  • ISBN 9780309224185
  • Dimensions: 152 x 229mm
  • Publication Date: 13 Aug 2012
  • Publisher: National Academies Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

More from this author