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    Accelerator for Drug Discovery using AI-Driven Insights

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    Use AI/ML to accelerate biomarker discovery, molecular simulations, and target identification.

    Overview

    Traditional drug discovery processes are slow and resource-intensive, delaying breakthrough therapies. This 4-week POC uses AWS SageMaker & Bedrock to identify promising biomarkers, simulate molecule interactions, and optimize AI-driven drug discovery workflows. What’s Included: • AI-Powered Biomarker Discovery – Uses SageMaker to analyze genomics datasets for potential drug targets. • Molecular Simulation & Screening – Applies AI-driven modeling to predict compound interactions. • AWS-Powered Research Pipeline – Builds a scalable AI/ML workflow for preclinical drug development. •** Implementation Roadmap** – Plan for production deployment in AWS-powered R&D environments.

    Highlights

    • Accelerate Preclinical Drug Discovery – Reduces molecular screening time with AI simulations.
    • Scalable AI/ML R&D Workflows – Enables predictive modeling for targeted therapy development.
    • AWS SageMaker & Bedrock Integration – Optimized for life sciences research and AI-driven insights.

    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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