Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505254 | Computers in Biology and Medicine | 2013 | 10 Pages |
Abstract
Translational research in oncology is directed mainly towards establishing a better risk stratification and searching for appropriate therapeutic targets. This research generates a tremendous amount of complex clinical and biological data needing speedy and effective management. The authors describe the design, implementation and early experiences of a computer-aided system for the integration and management of data for neuroblastoma patients. NeuPAT facilitates clinical and translational research, minimizes the workload in consolidating the information, reduces errors and increases correlation of data through extensive coding. This design can also be applied to other tumor types.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Eva Villamón, Marta Piqueras, Javier Meseguer, Ignacio Blanquer, Ana P. Berbegall, Irene Tadeo, Vicente Hernández, Samuel Navarro, Rosa Noguera,