Clinical Trial Candidate Prediction


Identify suitable candidates for trials of a particular drug

Pain Areas

The medical history of a specific patient might render them ineligible

An eligible patient might not be at the stage of the disease, that is targeted by the drug to be tested, thus making that patient unsuitable

Data Points

Patient-specific diagnostic genome-to-exposome profiling data

Drug target biomarkers data


ML Models combine omic data with electronic medical record (EMR) and other patient data, scattered among different locations, owners, and
formats (handwritten paper copies to digital medical imagery), to surface biomarkers that lead to endpoints that can be efficiently measured, and thereby identify and characterize appropriate patient subpopulations

Business Outcomes

Increase candidate suitability by 32%

Cut down time delay in probability in clinical trials by 86%

Ready to start your AI journey?
Request for a Demo

Whatever your needs, we are looking forword to hearing from you

    Commonly Used
    AI & Cloud Tech Stacks

    Have a product idea in mind?
    Talk to us about it!