Apply AI to optimize clinical trial protocols, improve patient selection criteria, and design adaptive trials that reduce time to market.
Before
Find a protocol synopsis from ClinicalTrials.gov for a Phase 3 trial in an indication you are familiar with. Use the eligibility criteria analysis prompt to evaluate the inclusion/exclusion criteria. Compare the AI's suggestions with any amendments that were actually made to the trial (visible in the trial history on ClinicalTrials.gov).
After
Protocol amendments cost the industry an estimated $500K-$1M per amendment in direct costs, plus months of delay. AI can analyze thousands of historical protocols to identify which eligibility criteria are most likely to cause enrollment problems, which endpoints have the strongest track record in a given indication, and where protocol complexity can be reduced without sacrificing scientific rigor.
Tip
Be specific about what you need. The more context you provide, the better the result.
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Protocol Optimization with AI
Use AI to analyze historical protocol amendments and identify common design pitfalls
Adaptive Trial Design & AI-Powered Simulations
Understand the key types of adaptive trial designs and when AI enhances them
AI for Patient Recruitment & Retention
Apply AI to identify and match patients to clinical trials using EHR and claims data