Enhancing Next-Generation Sequencing-Guided Cancer Care Through Cognitive Computing.

ABSTRACT:

Background

Using next-generation sequencing (NGS) to guide cancer therapy has created challenges in analyzing and reporting large volumes of genomic data to patients and caregivers. Specifically, providing current, accurate information on newly approved therapies and open clinical trials requires considerable manual curation performed mainly by human "molecular tumor boards" (MTBs). The purpose of this study was to determine the utility of cognitive computing as performed by Watson for Genomics (WfG) compared with a human MTB.

Materials and methods

One thousand eighteen patient cases that previously underwent targeted exon sequencing at the University of North Carolina (UNC) and subsequent analysis by the UNCseq informatics pipeline and the UNC MTB between November 7, 2011,

SUBMITTER: Patel NM 

PROVIDER: S-EPMC5813753 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature