Topic analysis on publications and patents toward fully automated translational science benefits model impact extraction.

ABSTRACT:

Background

The Clinical and Translational Science Award (CTSA) program, funded by the National Center for Advancing Translational Sciences (NCATS), has supported over 65 hubs, generating 118,490 publications from 2006 to 2021. Measuring the impact of these outputs remains challenging, as traditional bibliometric methods fail to capture patents, policy contributions, and clinical implementation. The Translational Science Benefits Model (TSBM) provides a structured framework for assessing clinical, community, economic, and policy benefits, but its manual application is resource-intensive. Advances in Natural Language Processing (NLP) and Artificial Intelligence (AI) offer a scalable solution for automating benefit extraction from large research datasets.

Objective

This study p

SUBMITTER: Manjunath T 

PROVIDER: S-EPMC12500706 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature