CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to develop advanced text mining techniques to extract meaningful relationships between biomolecules from the vast biomedical literature. By leveraging natural language processing and machine learning, it seeks to enhance the accessibility of critical biological information for researchers.
Scientific publications are the main media through which researchers report their new findings.
The huge amount and the continuing rapid growth of the number of published articles in biomedicine, has made it particularly difficult for researchers to access and utilize the knowledge contained in them.
Currently, there are over 21 million publications indexed in PubMed, which is the main system that provides access to the biomedical literature.
Over 2000 new entries are added to the system every…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
