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Improving patient pre-screening for clinical trials with generative AI on AWS

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AWS has developed a generative AI solution to improve patient pre-screening for clinical trials, addressing key challenges in clinical trial enrollment and matching.

  • Utilizes Amazon Bedrock Knowledge Base and Agents to match patients with clinical trials
  • Significantly reduces screening time by approximately 40%
  • Automates complex process of matching patient medical history with trial inclusion/exclusion criteria
  • Enables clinicians to quickly find relevant clinical trials based on patient demographics and medical conditions
  • Uses chain of thought reasoning to explain trial selection and key differences between matched trials

The solution leverages AWS services like Amazon Bedrock, OpenSearch Service, and Lambda to create an efficient, automated clinical trial matching system that can potentially accelerate medical research and patient care.



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