SUB-POPULATION OPTIMIZATION AND MODELING SOLUTION

Discover sub-populations in your trial data

Identifying sub-populations can be the key to meeting a trial's primary endpoints. IQVIA helps you find those patients, preserve your investment, and ensure the right therapies reach the right patients. Identifying predictive biomarkers and relevant sub-groups can be the difference between a successful trial and a discarded product.

Proven technology backed by IQVIA, compliant with regulatory standards

IQVIA Sub-population Optimization and Modeling Solution (SOMS) uses an industry method, Subgroup Identification Based on Differential Effect Search (SIDES), that is validated, published and defendable to health authorities. SOMS applies secure data technologies and streamlined workflows.

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Apply advanced analytics for biomarker-driven sub-population optimization

IQVIA SOMS leverages the latest healthcare-grade AI technology available and can help you identify predictive biomarkers and promising subgroups for your clinical trials. This streamlined, data-driven and reproducible approach can be leveraged across all studies.

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Interested in IQVIA SOMS? Join our pilot program.
IQVIA is currently recruiting industry sponsors who are ready to reap the benefits of IQVIA SOMS. Based on the need for your trial we can design, track, or classify sub-populations to generate insights for your team. Minimum effort is required from your end, and you can retain access to the software at a discount, past the pilot phase. Reach out now to schedule a consultation. 

FACT SHEET

Sub-Population Optimization and Modeling Solution

Read our fact sheet to learn more about IQVIA SOMS can help you identify predictive biomarkers and sub-populations through a process that takes hours rather than months.

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