Discovering new uses for NLP text analytics at the Linguamatics Text Mining Summit

October 23, 2014

This year, Linguamatics returned to the beautiful town of Newport, Rhode Island, for our annual Text Mining Summit on October 13-15. We were delighted to return to this exquisite setting, where again delegates competed over who could take the most beautiful sunrise and sunset photos.

Sunrise at Newport, Linguamatics Text Mining Summit 2014

Sunrise outside the Hyatt Regency,Newport, RI, Linguamatics Text Mining Summit 2014

Sunset at Newport, Linguamatics Text Mining Summit 2014

Sunset captured at the Linguamatics Text Mining Summit 2014

The Text Mining Summit offers unique opportunities to learn about the latest use cases of Natural Language Processing (NLP) text analytics across pharma and healthcare, plus hands-on training, networking and idea sharing. We hosted a fantastic line up of presenters from Novartis, Bristol-Myers Squibb, Georgetown University Medical Center, Spartanburg Regional Healthcare System, Boehringer Ingelheim, Pfizer, Cell Signalling Technology, Thomson Reuters, GenoSpace and Microsoft.

Mark Burfoot, Global Head, Knowledge Office for Novartis kicked off the proceedings on Tuesday with a keynote talk looking at the future of text mining and knowledge strategy within an evolving pharma landscape. Several presenters shared their use cases and experiences employing I2E. Jonathan Hartmann, Hospital Informationist, Georgetown University Medical Center, gave us an update on the use of I2E for on-the-spot clinical decision support; he said of his experience with text mining: “I2E allows me to find things I wouldn’t have been able to find.” Ryan Owens, Systems Analyst, Spartanburg Regional Healthcare, described the use of I2E to structure essential information from electronic medical records; he said what his organization was accomplishing would be impossible without the help of I2E: “You have to use NLP. There is no other way.”

Ryan Owens  speaking on 'Gaining critical information for clinical trials using NLP'

Ryan Owens speaking on ‘Gaining critical information for clinical trials using NLP’

Other presentations included Jonathan Keeling, Senior Scientist, Boehringer Ingelheim, who described how researchers are linking genomics (and other ‘omics) data in TranSMART to gene annotation information extracted using I2E; and Mick Correll, Chief Operating Officer, GenoSpace, who discussed how I2E has dramatically improved the clinical trial matching process, finding trials for critically ill patients faster than otherwise possible.

Jonathan Keeling speaking on 'Integration of text mining into the tranSMART knowledge management platform'

Jonathan Keeling speaking on ‘Integration of text mining into the tranSMART knowledge management platform’

User presentations received a warm welcome from delegates, who enabled very lively Q&A sessions on the different applications of NLP in improving the speed and quality of insight extraction. Delegates were also inspired by Linguamatics speakers’ presentations, which shed light on the power of I2E in more industry-specific contexts. In particular, John Brimacombe (Linguamatics Executive Chairman) laid out the roadmap to “Connecting Knowledge” through federated text mining over any content source, which will enable users to text mine multiple public and private knowledge sources in a single query.

A prime example of the potential of federated text mining was given by Andrew Garrow, Text Analytics Manager at Thomson Reuters. He previewed the Cortellis Informatics Clinical Text Analytics for I2E – exciting new capabilities to gain insights in support of clinical design from Cortellis clinical and epidemiology content sets.

Guy Singh and Andrew Garrow presenting on Cortellis Informatics Clinical Text Analytics for I2E

Guy Singh and Andrew Garrow presenting on Cortellis Informatics Clinical Text Analytics for I2E

The evening social events gave delegates a welcome opportunity to network and continue their discussions over the risotto bar at the Hyatt and fresh New England oysters, drinks, and a stunning waterfront view at the Landing restaurant.

The Text Mining Summit was once again a very successful event which brought together Linguamatics, our partners and our users across the healthcare, pharmaceutical and biotech industries to share dialogue on the past, present and future of text mining and data analytics. Many thanks to everyone who attended and contributed.

We very much look forward to seeing you at the TMS next year and also at our Spring Users Conference in Cambridge, UK (April 13-15, 2015).

Pharma and healthcare come together to see the future of text mining

October 16, 2013

The Linguamatics Text Mining Summit has become Linguamatics flagship US event over the past few years attracting a wide variety of attendees from Pharma, Biotech and Healthcare industries.

This year was no exception; the Summit drew a record crowd of over 85 attendees and a fantastic line up of speakers including: AMIA, Shire Pharmaceuticals, Huntsman Cancer Institute, AstraZeneca, Regeneron Pharmaceuticals, Merck, Georgetown University Medical Center, UNC Charlotte, City of Hope, Pfizer and Roche.

The Summit took place at the Hyatt Regency, Newport, Rhode Island in the beautiful surroundings of the Narragansett bay from October 7-9, 2013.


Delegates were provided with an excellent opportunity to explore trends in text mining and analytics, natural language processing and knowledge discovery. Delegates discovered how I2E is delivering valuable intelligence from text in a range of applications, including the mining of scientific literature, news feeds, Electronic Health Records (EHRs), clinical trial data, FDA drug labels and more. Customer presentations demonstrated how I2E helps workers in knowledge driven organizations meet the challenge of information overload, maximize the value of their information assets and increase speed to insight.

One customer presentation explained how a “Recent I2E literature search saved $180K and 2-3 months [of] time”.

Kevin Fickenscher, President and CEO of AMIA kicked off Tuesday October 8th main sessions with his forward-thinking talk on Big Data and its implications on personalized medicine and performance based outcomes in healthcare. The talk was engaging, well received and set the tone for a great day of presentations.


The final talk of Tuesday from Jonathan Hartmann, an Informationist at Georgetown University Medical Center,  also caused quite a stir by demonstrating an iPad-based web portal interface onto I2E to support identification of case histories used during physician’s rounds. The novel real time usage of I2E prompted many questions from delegates and the presentation was discussed long into the night at the Summit dinner.


The Summit afforded new and potential users with a timely update on the latest I2E product developments:  including an introduction to Linked Servers, which allows streamlined access to content by linking enterprise servers with content servers on the cloud, and enhanced chemical querying capabilities.  Both of these new features are available in the latest I2E release, I2E 4.1. CTO David Milward’s forward-looking technology road map received a great deal of interest from delegates.

This year we invited a few of our partners to exhibit and participate in 5-minute lightning round presentations, we heard from Cambridge Semantics, ChemAxon, Copyright Clearance Center and Accelrys on their solutions and how they integrate with Linguamatics I2E.

The whole event was a great success topped off with some fabulous feedback from all our attendees – to quote one of the feedback forms “One of the best summits and training sessions I have ever attended. The pioneering NLP efforts and user responsiveness is unmatched by any other text mining (NLP) vendor. The Linguamatics approach and I2E system is relatively intuitive, easy to manage, powerful and useful”.

Presentations are available on I2Edia and by email request.

Thanks to everyone who attended and contributed to the Linguamatics Text Mining Summit 2013, we look forward to seeing you next year!

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