Optimize clinical trial planning to drive trial success
Leverage big data sets, natural language processing, and predictive modeling to generate actionable insights and make informed decisions.
Data analytics-driven clinical trial planning, supply, optimization, and site management
Data-driven global site selection, protocol feasibility assessment, and effective site management are imperative to improve clinical trial supply timelines and outcomes. Life sciences companies are leveraging real-world data, machine learning, natural language processing, and predictive modeling to:
- optimize the clinical trial planning and operations right from site selection to regulatory submission.
- establish virtual controls for early-stage trials to model outcomes without treatment/estimate efficacy.
- react sooner with more information through accelerated signal detection.
Leverage multiple data sources and technology for clinical trial, planning, supply site selection, optimization and enrollment decision and get real-time insights into ongoing trials!
Read Blog / The innovative path forward in clinical trials
Advanced analytics in clinical trial optimization
Service offering
Key results
Business outcomes
- Site selection and patient recruitment
- Natural language processing
- Predictive insights
Comprehensive insights on study design, setting, and participants
Optimization that directly reflects in the cost of running a trial
Advanced automation for early warning
Axtria clinical research hub
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Axtria Recognized for Excellence in AI With a Minsky Award at Cypher 2024
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