When I was working on my Masters in data science, one of the projects I did was to create an algorithm that would take an intended use statement for a medical device and predict whether FDA would require a clinical trial. It worked fairly well, with accuracy of about 95%.
Since that’s a dynamic algorithm in which the user inputs an intended use statement and gets a prediction of FDA’s decision, I wanted to go about a similar task this month: create a static word cloud to show what words are most associated with intended use statements where FDA has required a clinical trial. At least in theory, this static representation might give you a sense of words in an intended use statement that are more likely to push your device toward a clinical trial.
On November 10, 2014, FDA authorized emergency use of the RealStar® Ebolavirus RT-PCR Kit 1.0, an in vitro diagnostic device for the detection of Ebola viruses. This is the most recent in a series of measures taken by FDA in recent months to facilitate rapid access to drugs, biologics and medical devices with potential benefits in the prevention, diagnosis or treatment of infections with the Ebola virus.
Emergency Use Authorization
Pursuant to Section 564 of the Food Drug & Cosmetic Act (21 U.S. Code § 360bbb–3), The Secretary of the Department of Health and Human Services may ...
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