Text Mining Along the Drug Development Pipeline

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).


Jane Reed joined Linguamatics in March 2014, as the head of life science strategy. She is responsible for developing the strategic vision for Linguamatics’ growing product portfolio and business development in the life science domain. Jane has extensive experience in life sciences informatics. She worked for more than 15 years in vendor companies supplying data products, data integration and analysis and consultancy to pharma and biotech – with roles at Instem, BioWisdom, Incyte, and Hexagen. Before moving into the life science industry, Jane worked in academia with post-docs in genetics and genomics.