Clinical trials are the backbone of medical progress, but a worrying trend is emerging: a large portion end without delivering useful results. This “uninformativeness” wastes valuable resources and delays advancements.
Fast Data Science is excited to announce the publication of a technical research paper the Clinical Trial Risk Tool, a game-changer in identifying potential uninformativeness at the protocol stage!
The Clinical Trial Risk Tool is a browser-based tool which uses Natural Language Processing (NLP) to analyse clinical trial protocols. Here’s how it works:
Ready to fight uninformativeness? Head over to https://clinicaltrialrisk.org/tool and access this free, open-source software.
A BibTex citation is as follows:
@article{wood2023clinical,
title={Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness},
author={Wood, Thomas A and McNair, Douglas},
journal={Gates Open Research},
volume={7},
number={56},
pages={56},
year={2023},
publisher={F1000 Research Limited}
}
Read more about research in AI and Fast Data Science’s publications here
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Fast Data Science are pleased to announce the release Clinical Trial Data Lookup plugin for Google Sheets. It lets you look up data for multiple clinical trials by NCT ID and fills out information such as condition, sponsor, endpoints, or protocol URL in different columns.
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