Professional AssociationsProfessional Associations: ACM SIGKDD | American Medical Informatics Association | IEEE Computer Society | International Society for Computational Biology
AMIA 2015 Panel
Panelists: Ping Zhang (IBM T.J. Watson Research Center), Atul Butte (University of California San Francisco), Nigam Shah (Stanford University), Nicholas Tatonetti (Columbia University), Hua Xu (The University of Texas Health Science Center at Houston)
Computational drug repositioning is a promising and efficient tool for discovering new uses from existing drugs and holds the great potential for precision medicine in the age of big data. The explosive growth of large-scale genomic and phenotypic data, as well data of small molecular compounds with granted regulatory approval, is enabling new developments for computational repositioning. To achieve the shortest path towards new drug indications, advanced data processing and analysis strategies are critical for making sense of these heterogeneous molecular measurements. Despite the progress simulated by big data analytics, there is clearly room for technical improvement with regard to computational drug repositioning methods. Furthermore, to materialize the true potential and impact of these methods, much work is needed to show that they can be successfully adopted into practical applications. In this panel, participants will summarize the recent advances in computational drug repositioning and identify challenges and opportunities. Panel participants will synthesize their perspectives on these key issues and likely future developments in this area, explore a diverse set of topics, and engage in thoughtful discussion with the audience.