On average, the amount of time to research and develop a single drug can take 10 years at a cost of $2.6 billion*. Life sciences researchers are increasingly looking toward tools and technologies that reduce costs, improve efficiency and thus increase the speed at which they are reaching valuable insights across the drug discovery pipeline. Text mining in particular is playing an important role in speeding up the process of R&D. From discovery to clinical development to post-approval research and monitoring – text mining has enabled researchers to pursue promising new therapies and pivot away from lesser candidates.
Join Jane Reed, Head of Life Sciences Strategy at Linguamatics, as she explores the application and business value of text mining in the life sciences through a series of real world examples. Learn about the value text mining brings to the R&D process along the drug discovery and development pipeline, some of the challenges researchers face in getting to the content they need and what they can do to address those issues.
*PhRMA Biopharmaceutical Industry Profile 2015, (Washington, DC: PhRMA, April 2015).