Clinical Trial Optimization

The Bottleneck

Clinical trials are the slowest, most expensive, and riskiest phase of drug development. Patient recruitment takes years. Many trials fail because they enrolled the wrong patients or used suboptimal protocols.

Our Approach

We leverage machine learning to optimize every aspect of clinical trials—from patient selection to endpoint definition to adaptive trial design.

Key Applications

• •Patient recruitment: AI identifies eligible patients from electronic health records, accelerating enrollment
• •Inclusion/exclusion criteria optimization: ML determines which patient characteristics predict trial success
• •Response prediction: Models predict which patients will respond to treatment, enabling enrichment strategies
• •Adaptive trial design: Real-time analysis allows mid-trial protocol adjustments, improving success rates