IQVIA SOMS
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Biomarker and sub-population identification
Sub-population tracking
Trial design and optimization
Trial simulation
and benchmarking
Trial rescue and recovery
Biomarker and sub-population
identification
Trial simulation and benchmarking
Simulate clinical trial outcomes based on historical data (or simulated real-world data) for accurate forecasting and planning
A biomarker driven approach to
identifying sub-populations
Trial rescue and
recovery
Redefine rescue scenarios and extract value from trials that didn't meet expectations
Trial design and
optimization
Design future trials leveraging historical trial data
Optimize on-going trials through dynamic, real-time adjustments leveraging interim data
Benchmark efficacy, safety profiles, etc.
Sub-population
tracking
Track identified sub-populations throughout the trial for validation
Biomarker and
sub-population identification
Unlock potential through discovery of predictive biomarkers related to efficacy, safety, etc.
Identify treatment populations with stronger outcomes leveraging statistically rigorous
AI/ML methodology
Sub-population
tracking
Trial design and
optimization
• Design future trials leveraging historical trial data
• Optimize on-going trials through dynamic, real-time adjustments leveraging
interim data
Trial rescue and
recovery
