Clinical Data Science

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!

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