Clinical Trial Candidate Prediction

Purpose

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

Technology

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%

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