Precision Sample Management
Translational medicine often requires specific cohorts—such as exceptional responders or non-responders—to have their biomarkers measured via specialty assays.
This requires routine application of stratified cohort criteria as patients progress through visits. New or bio-banked samples must be sent to specialty labs efficiently.
Sample Recommendation Engine
Uses tracking manifests, EDC data, and biomarker databases to automatically identify which patient’s biomarkers are missing.
Integrated Sample Intelligence
Ensure no valuable sample is lost and every required assay is performed.
Cohort Stratification
Apply criteria routinely to identify patients (responders/non-responders) needing specialty assays.
Gap Identification
Automatically identify which patient biomarkers have been obtained and which are missing.
Manifest Integration
Ingest tracking manifests from central labs and biobanks to maintain real-time chain of custody.
Biobank Management
Track bio-banked samples and trigger shipments to specialty labs when criteria are met.
EDC Integration
Resultant assay data is integrated back into EDC endpoints for holistic analysis.
Logistics Tracking
Monitor the physical journey of samples from hospitals to labs to ensure viability.
Complete Visibility for Translational Science
Make sure that bio-samples that should be assayed are identified as soon as possible and the resultant data integrated into the EDC end-points.
