Clinical Data Science & Statistical Programming
Take Clinical Data Exploration to New Realms
Find patterns, identify unusual correlations, set benchmarks, or predict study outcomes using historical data; the possibilities are endless
Real-Time Modeling & Data Exploration
- Develop models using real-time, curated data as well as imported historical and RWE data sets to support translational medicine
- Create dynamic AI/ML models to predict outcomes and find patterns in complex, unstructured data
- Supports leading programming languages – R, Python and SAS
Library of Pre-Built Models
- Surface correlation trends, digit preferences, and duplicate patients with our available library of configurable models
- Each model is equipped with drill down capabilities to support root-cause analysis
Data Science Collaboration Capabilities
- Automated process workflows and notebook capabilities support data governance and data sharing
- Allow developers across the globe to work in tandem to author, revise, validate, and execute data models in real-time
Unlock the Potential of Unified Clinical Data with ThoughtSphere!