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    AI-Powered Clinical Trial Optimization Accelerator

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    Use AI to predict optimal trial sites, improve recruitment, and reduce patient dropout.

    Overview

    Patient recruitment and retention are the biggest challenges in clinical trials, often causing delays and cost overruns. This 4-week POC applies AWS AI/ML models to historical trial data to identify optimal trial sites, predict recruitment challenges, and improve retention strategies. What’s Included: • AWS Bedrock Model Deployment – AI-driven insights on trial site selection. • Predictive Recruitment Analysis – Identify patient dropout risks and recommend engagement strategies. • Custom Dashboard & Report – A working visualization of AI-driven trial optimization insights. •** Implementation Plan** – Roadmap for production deployment in your AWS environment.

    Highlights

    • AI-Powered Site Selection – Reduces trial delays by improving recruitment targeting.
    • Predictive Dropout Modeling – Uses ML to enhance patient retention & engagement.
    • Compliance-Ready Trial Optimization – FHIR, HIPAA, and GDPR-aligned data workflows

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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