New Practices of NLP in a Nordic Pharmaceutical

Novo Nordisk and their use of NLP

I recently read an article written by Jane Z. Reed about NLP and pharmaceutical companies.

  1. Novo Nordisk needed to identify potential partnerships before competitors did so.
  2. To accomplish this objective, Novo Nordisk had to discover a means of consolidating huge volumes of external information to generate a bird’s-eye-view of partnership opportunities as early as possible.”
  • Targets and pathways.
  • Biotech companies.
  • University technology offerings.
  • Clinical trials.
  • Patent filings.
  • Scientific papers.
  • Conference abstracts
  1. The workflow uses a suite of NLP queries over data streams coming in from news, patents, scientific literature, conference abstracts and more.
  2. The resulting outputs are curated into summaries, written by information scientists with experience in the respective therapy areas.
  3. These are provided via InfoDesk as easy-to-consume alerts to the broader Novo Nordisk researchers.

An NLP process in Novo Nordisk

Reed then proceeds to describe a process in Novo Nordisk.

  1. Using pre-established search criteria, Novo Nordisk’s NLP evidence hub flags the article and publishes it to the “obesity drug candidate” newsletter and dashboard, prompting a “scout” to write a summary.
  2. The system also surfaces relevant background on the startup, revealing that it recently raised venture-capital funding, is seeking a patent with a novel method of action for the obesity drug candidate, and is scheduled to present new data at an upcoming conference.
  3. In combination with these, a Novo Nordisk researcher recognizes that a former colleague is employed by the startup and uses LinkedIn to facilitate a meeting between the former colleague and a Novo Nordisk team member who is attending the conference.”

Written by

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

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