Clinical trial design and patient stratification rely on fragmented data sources — genomics pipelines, EHR systems, biomarker repositories, prior trial data, and published research.
Traditional analytics platforms identify correlations but lack live operational context, explainable reasoning, and governed workflow execution to dynamically adapt trial parameters or stratify cohorts in real time.
Syntes AI builds dynamic context graphs linking patient phenotypes, genomic markers, treatment protocols, prior outcomes, and real-time trial data.
AI agents:
Continuously stratify patients based on evolving biomarker and clinical signals
Simulate cohort adjustments before protocol changes
Identify emerging response patterns
Recommend adaptive trial modifications
Maintain complete reasoning lineage for regulatory and IRB review
Context graphs connecting clinical, genomic, and protocol data
Real-time evidence prioritization across heterogeneous systems
Simulation before protocol modification
Policy-aware governance aligned with regulatory constraints
Full audit trail and explainable decision chains
Life sciences organizations accelerate trial timelines, improve patient stratification accuracy, reduce protocol amendments, and increase probability of clinical success — while preserving regulatory transparency.
DataRobot has been instrumental as we work through our generative and predictive AI use cases. With DataRobot’s LLM operations (LLMOps) capabilities and out-of-the-box LLM performance monitoring, we’re equipped to implement cutting-edge generative AI techniques into our business while monitoring for toxicity, truthfulness and cost.
Frederique De Letter
Senior Director Business Insights & Analytics, Keller Williams
A complete AI lifecycle platform is invaluable in optimizing the effectiveness and efficiency of our growing data science team. The DataRobot AI Platform provides full flexibility to integrate within our current ecosystem, including pulling data directly from Microsoft Azure to save time and reduce risk, and providing insights through Microsoft Power BI. This flexibility drew us to DataRobot, and we look forward to leveraging the integration with Azure OpenAI to continue to drive innovation.
Craig Civil
Director of Data Science & AI
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia Tungaraza
Ph.D, AVP, Artificial Intelligence, Baptist Health
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Vice President of Data & Analytics, FordDirect
