Pharma
Clinical Trial Candidate Prediction
Pain Areas
Patient's medical history can often make them unfit for clinical trials. Even eligible patients may not be at the right stage of the disease targeted by a specific drug
Purpose
Accurate identification of suitable candidates for specific drug trials
Data Points
Patient-specific diagnostic genome-to-exposome profiling data along with drug target biomarker data
Technology
- Machine learning models combine omics data with electronic medical records and other distributed patient data
- Models help surface measurable biomarkers and identify suitable patient subpopulations
Business Outcomes
Improves candidate suitability by up to 32%
Reduces delays in clinical trials by up to 86%