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
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.