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    Secure Federated Learning for Multi-Site Clinical Trials POC

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    Enable AI model training across global research sites without exposing sensitive patient data.

    Overview

    Global clinical trials and genomics research require data sharing across institutions, but privacy laws block raw data movement. This 4-week POC deploys AWS-powered federated learning, allowing AI model training without compromising patient data privacy. What’s Included: • AWS PrivateLink-Powered Data Access – Secure multi-site data sharing. • Federated AI Model Deployment – Train ML models across research sites without moving raw data. • Compliance & Security Report – Ensures HIPAA, GDPR, and FDA 21 CFR Part 11 alignment. • AWS Adoption Plan – Roadmap for expanding federated AI workflows.

    Highlights

    • Privacy-Preserving AI Model Training – Enables collaboration without sharing raw patient data.
    • Regulatory-Compliant AI Workflows – Meets strict clinical trial security requirements.
    • AWS-Native Secure Infrastructure – Uses Nitro Enclaves & PrivateLink for enhanced security.

    Details

    Delivery method

    Deployed on AWS

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