Use Cases for AI & ML in Clinical Trials

AI & ML Fuel Clinical Innovation

AI and machine learning can analyze complex datasets faster and more accurately than traditional methods, surfacing actionable insights across clinical development. AI-ready clinical data — complete, curated, and current — powers innovation in clinical research.

Key use cases include:

04.

Data Cleaning and Anomaly Detection

06.

Automapping of data

01.

Protocol Design Optimization

02.

Patient Selection and Recruitment

03.

Site Feasibility and Risk-Based Monitoring

05.

Real-World Evidence and Synthetic Control Arms