Case Study: a biomedical and pharmacological data company improves article curation and indexing with Innodata

Biomedical and Pharmacological Data Company improves article curation with Innodata

A leading biomedical and pharmacological data company needed to automate the ongoing curation and indexing of medical research articles to keep its database current while ensuring data integrity and relevancy. To meet this challenge, the company partnered with Innodata for its text annotation services.

Innodata deployed a machine learning platform to perform first-pass auto-annotations on hundreds of thousands of articles. These annotations were then refined by a team overseen by medical subject matter experts. This solution allowed the customer to expand their platform's functionality, linking relevant diseases, drugs, and medical devices. The overall accuracy of the database was improved, helping the company maintain a competitive edge and boost customer satisfaction.