Predicting Clinical Trial Completion: Unveiling Factors and Risk Assessment with Machine Learning

We have been exploring few fundamental questions wrt clinical trial execution — what factors influence trial completion? can we predict ahead if the trial would fail to complete?

Below is a result from our hackathon mode coding exercise over last few days building early version of our ML model using hand selected features esp. from study design

And we have an API available to securely check your study’s risk using above ML model. If you are a researcher, a pharmaceutical company and would like to securely test your study please contact us for more.

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