Clinical Trial Risk Tool wins Plotly Dash challenge!

· Thomas Wood
Clinical Trial Risk Tool wins Plotly Dash challenge!

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We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!

You can try the tool at clinicaltrialrisk.org.

Natural language processing

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Funded by the Bill and Melinda Gates Foundation, this app uses natural language processing, Plotly Dash, and the spaCy and Scikit-Learn libraries to calculate the risk of a clinical trial failing to deliver informative results. It reads the trial protocol and identifies key features from the text which are fed into a risk model.

Thomas Wood will be presenting the tool in a webinar on 7 June 2023 which you can book here.

Meanwhile, an article describing the tool has been published at: Wood TA and McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Res 2023, 7:56 (https://doi.org/10.12688/gatesopenres.14416.1).

Download the pitch deck for the Clinical Trial Risk Tool

How to cite the Clinical Trial Risk Tool?

If you would like to cite the tool alone, you can cite:

Wood TA and McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Res 2023, 7:56 doi: 10.12688/gatesopenres.14416.1.

A BibTeX entry for LaTeX users is

@article{Wood_2023,
	doi = {10.12688/gatesopenres.14416.1},
	url = {https://doi.org/10.12688%2Fgatesopenres.14416.1},
	year = 2023,
	month = {apr},
	publisher = {F1000 Research Ltd},
	volume = {7},
	pages = {56},
	author = {Thomas A Wood and Douglas McNair},
	title = {Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness},
	journal = {Gates Open Research}
}

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