Most pharmaceutical companies will have, at some point, deployed an Electronic Laboratory Notebook (ELN) with the goal of centralising R&D data. ELNs have become an important source of both key experimental results and the development history of new methods and processes.
However, most pharmaceutical companies are unable to realise the true value of the data stored in their ELN. Much of the information stored within it is captured as qualitative free text or as attachments, with the ability to mine it limited to rudimentary text and keyword searches.
SciBite’s unique combination of retrospective and prospective semantic enrichment immediately brings scientifically intelligent search to any ELN platform, opening up new possibilities to mine the data more effectively and derive valuable scientific and business insights.
To learn more, download the full use case.
In this blog post hear from GSK's Scientific Lead within the Data and Computational Sciences Solutions team, Samiul Hasan on how semantic integration can be made to ultimately become part of an integrated learning framework for more informed scientific decision making.Read
SciBite launches AI-driven semantic search platform to help manage data deluge. Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.Read
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