Talk AI for Clinical Trials track
Data -Driven Evaluation of Clinical Trial Inclusion and Exclusion Criteria to Optimize Study Design
Wed, Feb 5, 2025 · 12:05–12:25 PM EST Rosen Shingle Creek
About this session
Clinical trials are key to drug development and a costly component to our business. 55% of terminated clinical trials fail due to slow recruitment. We hypothesize that this is, in part, due to restrictive and perhaps poorly justified inclusion/exclusion criteria. To combat this issue, we developed simulation techniques to evaluate inclusion/exclusion criteria and propose a set of criteria such that we maximize the size of the potential patient population whilst retaining a high probability of success.