Using Machine Learning and NLP as Research Accelerators


  • CASE STUDIES
  • March 5th, 2020
  •   223 Views

Key Opinion Leaders (KOLs) drive new innovations in R&D every day. But true innovation requires seamless sharing of knowledge across languages and databases.

THE PROBLEM
A leading pharma company wanted to expand their R&D database by mining through English and Japanese KOL content from the same platform. Mu Sigma utilized ML and NLP to automate and enhance the search strategy across databases in both languages.

THE MU SIGMA APPROACH
We devised a search platform superimposed on the existing search engine to pull Japanese articles from an English search. Starting with the Universal Medical Language System Metathesaurus, we contextually aligned all the data from both languages and collated it into a list for use in a search engine.

This solution:
• Matches Japanese and English results based on more factors than matching terms
• Is scalable to more languages

THE IMPACT
The R&D wing of this pharma leader saw a 17% increase in identification of KOLS for just one specific disease area and significantly lowered costs of dependencies of subject matter experts.

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