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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