Posts from February 2016

A new speaker has just been announced for the annual Text Mining Conference hosted in Cambridge, UK. This annual conference has been running for over 10 years and features text analytics use cases particularly across pharma and life science. Information professionals across top 100 pharma and life science organizations gather to share insight, best practice and discuss the future of text mining technology.

Eleanor Yelland will be presenting on: I2E in mental health: Analysis of online transcripts used in cognitive behavioural therapy.

Eleanor is a PhD Student in the Division of Psychiatry at University College London. Her PhD is a partnership with Linguamatics and Ieso Digital Health, who provide text-based online cognitive behavioural therapy.

The project focuses on the language within the treatment sessions and how text mining methods can be applied to best use this to learn about and improve treatment provision. The work primarily involves identifying potentially relevant linguistic characteristics, measuring these and building statistical models of their relationship with therapy outcome scores.  

This adds to a world-class list of speakers across pharma and healthcare who will be presenting at the conference, including:

Jonathan Hartmann, Georgetown University Medical Center: Evolution of I2E to improve patient care

Thierry Breyette, Novo Nordisk: Generating Actionable Insights from Real World Data

Cassie Gregson, AstraZeneca: Application of Text Mining to Clinical Research


Reading some of the FDA blogs reviewing 2015, I was interested to read that "for the second consecutive year, [the FDA] approved more drugs to treat rare diseases than any previous year in our history." This is great news for the patients affected by these rare or orphan diseases, and there is of course potential for applications of such drugs and the knowledge around these diseases across the wider population and in broader healthcare.

Text analytics can play a part in developing better understanding around the biology of these rare diseases. There's a great example of this application of text mining from Madhusudan Natarajan at Shire Pharmaceuticals. Shire develops and provides healthcare in the areas of behavioural health, gastrointestinal conditions, rare diseases, and regenerative medicine, and Madhu has presented his research using text analytics to uncover disease severity and genotype-phenotype associations for Hunter Syndrome (also known as Mucopolysaccharidosis II).

We recently hosted a webinar with Madhu. In this webinar, he illustrates some of the challenges for R&D for orphan diseases, particularly around text mining for mutation and variant patterns, which can be reported in so many different ways in the literature. 

Webinar: A systematic examination of gene-disease associations through text mining approaches