How AI is being used to accelerate clinical trials
Nature
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Summary
Artificial Intelligence (AI) is now being used to address the slow and costly process of clinical trials, aiming to counteract the diminishing efficiency in drug development, known as Eroom's law. AI applications in trials include designing study protocols, enhancing patient recruitment, selecting eligibility criteria, and data analysis. Innovations such as predictive algorithms for trial success, automated patient recruitment systems, and digital twins to reduce control group sizes are notable examples. Furthermore, AI assists in optimizing trial parameters in real-time, identifying suitable patient candidates from databases, and employing wearables for data collection. These AI-driven methods not only expedite clinical research but also aim to broaden inclusivity in trial populations, potentially making drug development more efficient and inclusive.
