Gen AI optimizes clinical trial patient recruitment for Persistent Systems
Persistent Systems has leveraged Microsoft's tools to develop AI-powered solutions for clinical trial optimization. By integrating Snowflake's Snowpark and Microsoft's Azure AI capabilities, this platform expedites patient cohort selection, reduces recruitment costs, and improves diversity in trial participation. This allows pharmaceutical companies to streamline drug development operations and reduce patient recruitment-related delays massively.
- Organization
- Persistent Systems
- Industry
- Healthcare
- Location
- United States
- Published
- May 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Persistent Systems
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Microsoft Azure Marketplace
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 2 of 2
- 1cohort selection
- 2clinical trials
- Pharmaceutical companies losing $1M-$5M daily due to poor enrollment in clinical trials.
- Traditional manual screening methods causing inefficiencies and prolonged recruitment cycles.
- High dropout rates, reducing the success rate of trials.
- Lack of representation and diversity in trial participants.
- Developed Gen AI Patient Cohort Selection integrated with Microsoft Azure AI and Open AI APIs.
- Optimized rapid querying on patient databases using Snowflake's Snowpark platform.
- Integrated healthcare-specific intelligence plugins to streamline processes.
- Provided scalable solutions for large and small-scale clinical trial demands.
- Utilized generational Azure-based AI for data feature engineering and inferencing.
- Accelerated matching of diverse patient groups for clinical trials.
- Lowered drug development costs through faster patient recruitment processes.
- Improved representation of diverse populations in trials.
- Reduced delays in recruitment and trial initiation.
Sources & evidence1
- Customer explicitly identified
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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