Data collection as a barrier to personalized medicine


Basic life science research holds the promise of personalizing medical care. However, translation steps from the laboratory to the bedside are not trivial. Results from clinical research are difficult to replicate in part because study cohorts are poorly defined phenotypically. Here, we discuss how computer technology can improve the collection of clinical data to enable translation of insights from basic science to validated clinical guidelines.


Projects: G3: Clinical Translation to Pharmaceutical Drug Development

Trends Pharmacol. Sci.
Trends Pharmacol. Sci. 36(2): 68-71
2nd Dec 2014

David Zakim, Matthias Schwab

help Authors

[Matthias Schwab]

help Attributions


help Scales

Not Specified
Views: 1178
  • Created: 7th Apr 2015 at 14:54

Related items


Log in / Register

Need an account?
Sign up

Forgotten password?

Front Page

Virtual Liver Network


Related Projects and friends

Imprint Taverna workflow workbench myExperiment JWS Online ISATAB myGrid Sabio-RK BioPortal Semantic SBML

Powered by:


Silk icons 1.3
Crystal Clear icons

Virtual Liver Seek uses one essential cookie to keep you session open and one cookie to keep your consent.

By continuing to use this site you agree to the use of cookies