Folks its about using Ai to improve the design of trials!!!! So that they have a better chance of success.
Putting a trial together is a complex and onerous task - small flaws in the trial design methodology can trash the chance of success. Just ask RAP.
RAP had some background noise interference when customers were trialing the app to assess coughs - the app was too sensitive to noise interference - this threw out the numbers and the trial failed. Massive setback for RAP.
They would have been much better served having a trial design without those flaws!!!!
These are the kind of kinks that OPL is aiming to reduce / eliminate. Using learnings from large numbers of trials and helping others benefit from those insights.
Certainly sounds interesting.
OPL Price at posting:
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