$275

Linguamatics Fall Text Mining Summit 2018

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Location

Wentworth by the Sea Hotel and Spa

Wentworth by the Sea Access Road

New Castle, NH 03854

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Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

Taking place this year on October 15-17 at the beautiful Wentworth by the Sea in New Castle, New Hampshire, this is the ideal opportunity for experienced, new and potential I2E users to:

  • Network and exchange ideas with peers and text mining experts

  • Understand the challenges other pharmaceutical and healthcare professionals are facing and explore solutions to these challenges

  • Gain hands-on experience of NLP text mining and where it can fit into your organization, through workshops and training

What does the conference include?:

  • Customer presentations featuring best practice, case studies and insights on practical approaches to text mining and knowledge discovery

  • Presentations covering what's new in I2E, looking ahead at developments in the pipeline and future directions for text mining and knowledge discovery

  • Roundtable Discussions covering important topics and challenges in the field of text mining and knowledge discovery

  • Opportunities to network with peers and with Linguamatics experts

  • Hands-on workshops, giving new and experienced users the opportunity to explore the full capabilities of I2E, and discuss best practice in consultation with Linguamatics experts

  • Healthcare track to discuss best practice and use of NLP in healthcare

  • User certification training and attendance certification

  • Evening social events

  • Partner presentations and exhibits

  • Meals and refreshments provided during the conference are included with the registration fee

Confirmed speakers:

  • Eric Su, Principal Research Scientist at Eli Lilly
    Mining ClinicalTrials.gov to Support Clinical Trial Design

  • Yun Yun Yang, Senior Patent Analyst at Bristol-Myers Squibb
    A Multiple Step Approach for Finding Clinical Trials For GPCR Target Class

  • Thierry Breyette, Associate Director, Information Analytics at Novo Nordisk
    Using NLP at Novo Nordisk to Generate Actionable Insights from Real World Data

  • Cheng Zhu, Senior Scientist, Translational Bioinformatics and Research Informatics at Sanofi
    Integrated text mining approaches for drug target new indication search

  • Peng Zhang, Sr Staff Scientist, Target Information Group, Regeneron Pharmaceuticals
    Knowledge Management and Data Integration – Building A Resource for GPCR Drug Discovery

  • Craig Monsen, Chief Medical Information Officer at Atrius Health
    Operationalizing NLP to support value-based care at Atrius Health

  • Tom McGraw, Senior Vice President of Product Development for Secure Exchange Solutions (SES)
    SPOT for Clinical Review

  • Chaya Duraiswami, Associate Fellow, Compliance Solutions Manager, GSK
    Use of Text Analytics to Enable Data-Driven Risk Management

  • Kerry Bommarito
    Mercy’s Experience: Natural Language Processing

Who should attend?

New and experienced users of Linguamatics and other text mining software and any professionals interested in the mining and analysis of textual information

More information can be found on our event website:

https://www.linguamatics.com/events/linguamatics-2018-text-mining-summit

About the venue:

The Linguamatics Text Mining Summit will be held at the Wentworth by the Sea Hotel in New Castle, New Hampshire. Overlooking the Atlantic Ocean from the island of New Castle, Wentworth by the Sea, a Marriott Hotel & Spa, welcomes guests to one of last grand Portsmouth hotels. Our AAA Four-Diamond retreat features the three original Victorian towers constructed in the 1870s, along with 161 stately guest rooms and suites that blend the hotel’s historic elegance with luxurious, modern amenities.

Interested in speaking? Please email speakers@linguamatics.com

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Date and Time

Location

Wentworth by the Sea Hotel and Spa

Wentworth by the Sea Access Road

New Castle, NH 03854

View Map

Refund Policy

Refunds up to 30 days before event

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