Where:
MassBioHub
700 Technology Square, 5th Floor
Cambridge, MA 02139
Admission:
FREE
Categories:
Business, Lectures & Conferences, Meetup, Tech
Event website:
https://conferences.nature.com/event/d4ced85d-b00d-4d44-854f-26892fa4f656/summary
Scientific Discovery and Trend Analysis to Derive Insights and Drive Innovation
The path to innovation requires the systematic analysis of millions of documents. However, navigating and ingesting large volumes of data in an optimal manner remains a barrier to entry for many organizations. Text & Data Mining (TDM) is enabling researchers to better explore new paths to innovation. By leveraging the power of Data Mining via APIs and utilizing semantic search to identify hidden insights in millions of articles, researchers can open up endless possibilities for developing new knowledge models that could be used to accelerate drug discovery and identify trends in patient outcomes, drug target screening, pharmacogenomics, and adverse drug event detection.
The life science space is leading the way in its push towards contextualizing data by connecting keywords and concepts to ontologies & using semantic search to increase interoperability and drive scientific innovation through text and data mining rich, structured, machine-readable content. In this event, we will showcase how Springer Nature is supporting this on an enterprise-wide scale for customers across many industries. There will also be the opportunity to network with peers and answer some of the most common TDM questions.
Register today to secure your spot!
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