A conceptual model for translating omic data into clinical action

• Main Authors: Timothy M Herr (Author), Suzette J Bielinski (Author), Erwin Bottinger (Author), Ariel Brautbar (Author), Murray Brilliant (Author), Christopher G Chute (Author), Joshua Denny (Author), Robert R Freimuth (Author), Andrea Hartzler (Author), Joseph Kannry (Author), Isaac S Kohane (Author), Iftikhar J Kullo (Author), Simon Lin (Author), Jyotishman Pathak (Author), Peggy Peissig (Author), Jill Pulley (Author), James Ralston (Author), Luke Rasmussen (Author), Dan Roden (Author), Gerard Tromp (Author), Marc S Williams (Author), Justin Starren (Author)
• Format: Book
• Published: Elsevier, 2015-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Genomic, proteomic, epigenomic, and other "omic" data have the potential to enable precision medicine, also commonly referred to as personalized medicine. The volume and complexity of omic data are rapidly overwhelming human cognitive capacity, requiring innovative approaches to translate...