AWS delivers the most comprehensive set of generative AI capabilities and industry-leading foundation models for healthcare and life sciences organizations.
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Broadest model choice and customization
With AWS, you have the right tools for the job. Whether you’re building AI-driven care experiences, creating novel proteins for drug discovery, or democratizing advanced data analytics through natural language queries—AWS offers a comprehensive set of AI capabilities from chips to foundation models to applications, enabling rapid AI innovation.
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Purpose-built for scalable, intelligent innovation
AWS brings together robust data management, purpose-built AI services, and industry expertise—so you can move from idea to impact, faster. Explore, prototype, and launch impactful AI solutions with our extensive expert support network, including the AWS Generative AI Innovation Center, AWS Partner Network, and AWS Professional Services.
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Most secure and reliable global infrastructure
AWS secures your AI future with enterprise-proven protection and reliability—trusted by millions of customers worldwide. AWS provides end-to-end data governance capabilities and more than 146 HIPAA-eligible services and supports 143 security standards and compliance certifications, including HIPAA/HITECH, GDPR, and HITRUST.
AI starts with trust
With AWS, your data remains yours when using generative AI, with rigorous controls to meet data sovereignty and data privacy requirements, while built-in guardrails support the integration of responsible AI and safety. This all runs on the most secure and extensive cloud infrastructure for healthcare and life sciences workloads.
LATEST NEWS
Latest generative AI news in healthcare & life sciences
Life sciences generative AI use cases
Therapeutic Target Identification and Validation
Clinical Trial Protocol Generation and Enhancement
Drug Manufacturing Reject Reduction
Compliant Content Draft Creation and Review
Self-Service Real World Data / Evidence Analysis
Sales Team Effectiveness and Compliance
Life sciences generative AI customer stories
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We are leveraging AI, which is estimated to deliver annual cost savings of $750M to $1B in the near term. Using AWS cloud services, Pfizer quickly deployed Vox, our internal generative AI, allowing colleagues to access large language models available in Amazon Bedrock and Amazon SageMaker.
— Lidia Fonseca, Chief Digital and technology Officer, Pfizer
Sanofi

Learn how Sanofi uses Amazon Bedrock to streamline operations including automating content creation for medical-legal reviews.
Natera

Learn how Natera uses Amazon Bedrock and Amazon Textract to extract data elements from clinical documents.
Clario

Learn how Clario harnesses the power of large language models using AWS to accelerate clinical document analysis.
Aetion

Learn how Aetion uses AWS Bedrock to enable users to identify patient subgroups using natural language searches in its real-world evidence software.
Healthcare generative AI use cases
Clinician Task Automation
Medical Imaging and Pathology Analysis
Ambient Listening and Clinical Note Generation
Call Center Assistant
Prior Authorization and Claims Process Automation
Regulatory Compliance and Reporting Automation
Healthcare generative AI customer stories
Philips

Learn how Philips' cloud- and AI-enabled integrated diagnostics portfolio aims to unify workflows, improve access to critical insights, and drive better outcomes for patients.
HippocraticAI

Learn how HippocraticAI is using AWS to build its large language model (LLM) that power AI agents capable of natural, real-time conversations with patients.
Radboud University Medical Center

Learn how Radboundumc is integrating AI into pathology to assist pathologists in triaging cases and tailoring therapies for individual patients.
Solventum

Learn how Solventum uses AWS HealthScribe to automate note-taking, alleviating documentation burden and allowing physicians to focus on patient interactions.
Amazon Pharmacy

Learn how Amazon Pharmacy improves customer care and reduces administrative burden by leveraging Amazon SageMaker AI.
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Using AWS, our goal at Tufts Medicine is not only to redefine healthcare but to reinvent the way that it is delivered.
— Dr. Shafiq Rab
Chief Data Officer, System Chief Information Officer and Executive Vice President, Tufts Medicine
Tools to build and scale generative AI applications
Innovate faster with new capabilities, a choice of industry-leading foundation models (FMs), and infrastructure that pushes the envelope to deliver the highest performance while lowering costs. Explore more generative AI tools
Resources
Find additional resources to educate you on generative AI on AWS for healthcare and life sciences.
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