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The Growing Momentum of #MT in #LifeSciences

Using MT on life science content opens up an immense opportunity to analyze and gain insights across the entire value chain, such as:
Drug Discovery: Analyzing and spotting additional indications for a drug, disease pathways, and biomarkers
Clinical Trials: Optimizing clinical trials through better selection of investigators and sites, and defining better inclusion and exclusion criteria
Wearables: Wearable technologies generate a significant amount of data to monitor patients, such as tracking key parameters and therapy compliance
Aggregated data: The ability to aggregate data from multiple reporting sources has also increased the volume and flow of such data.

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#NLProc in Healthcare and Life Science: CAGR of +20% by 2023

#NLProc in Healthcare and Life Science: CAGR of +20% by 2023 | Language Tech Market News | Scoop.it

Key companies covered: 3M, Apple, Google, Microsoft, A3logics, AlchemyAPI, Apixio, Aylien, Dolbey Systems, Fluxifi, HP, IBM, Linguamatics, Nuance Communication, SAS Institute

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Ontoforce Launches Text Mining Project with Ghent University

ONTOFORCE (BE) has secured an exclusive license for the 'Smart Documents' technology of Ghent University. Together, they are launching an innovative ‘text mining’ project for semi- and unstructured datain the life sciences industry.

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@Elsevier Launches Entellect Platform for Creating AI-ready Life Sciences Data

@Elsevier Launches Entellect Platform for Creating AI-ready Life Sciences Data | Language Tech Market News | Scoop.it
With nearly a fifth of pharmaceutical spending going to R&D and the average cost of bringing a new drug to market estimated at $4 billion USD, life sciences companies urgently need more efficient ways to analyze data. Drawing on its longstanding experience in the life sciences, Elsevier has created Entellect. This new platform can save time and costs by de-siloing, contextualizing and connecting drug, target, and disease data to deliver normalized, discoverable and model-ready information.
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@Linguamatics Extends Text Analytics Leadership in 2017

@Linguamatics Extends Text Analytics Leadership in 2017 | Language Tech Market News | Scoop.it
New capabilities include custom search interfaces using I2E web portals, providing much larger, wide-ranging user communities with web access to the benefits of deep NLP capabilities. Programmatic use of I2E is enhanced by I2E AMP, which delivers high-throughput, fault tolerant workflow management for real-time document processing. AMP is deployed at multiple customer sites in a variety of workflows, including safety and regulatory affairs.
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