AWS for Industries
Category: Healthcare
Bayer imaging FM classifies drug targets using Amazon SageMaker HyperPod
This blog is co-authored by: Marc Osterland, Lisa Schneider, Adrian Wolny, and Vladislav Kim from Bayer AG, Pharmaceuticals The pharmaceutical industry is starting to adopt artificial intelligence (AI) foundation models (FMs) to enhance research and development workflows. Bayer Pharmaceuticals (a division of Bayer AG), a multinational pharmaceutical and agricultural company headquartered in Germany) wanted to […]
GeBBs Healthcare revolutionizes medical coding workflows with Amazon Bedrock
Medical coding workflows in healthcare have become increasingly complex and resource-intensive, requiring specialized expertise to translate clinical documentation into standardized billable codes. For healthcare providers, revenue cycle management companies, and payers, extracting accurate coding information from vast amounts of clinical data, while maintaining compliance, is a daily operational challenge. Recognizing this critical need, GeBBs Healthcare […]
Amazon welcomes White House Executive Order and affirms commitment to pediatric cancer care and research
According to the American Childhood Cancer Organization, 42 families learn that their child has been diagnosed with cancer every day in the United States. Far too often, these diagnoses are terminal—with kids having few, if any, treatment options. The same clinicians treating children with cancer are also the scientists trying to find a cure, often […]
Modernizing healthcare data platforms for generative AI
Healthcare organizations face a transformative moment where data modernization redefines patient care delivery. The healthcare industry’s adoption of AI marks a fundamental change in diagnosis, treatment planning, and patient outcomes. This evolution creates a future of precision medicine and personalized care accessible to everyone. According to Deloitte’s “2025 Global Health Care Executive Outlook”, 92 percent […]
Unlock the potential of patient 360 with Salesforce and AWS
In the era of digital health transformation, patient 360 has emerged as a cornerstone approach for modernizing healthcare services. Consolidating comprehensive patient information into a single, accessible format, across various healthcare providers and settings, enables healthcare professionals to make more informed decisions. It also streamlines care coordination and delivers more personalized patient journeys. NHS England […]
Unlocking the value of unstructured data with Amazon Bedrock Data Automation
Organizations across various industries are struggling with the exponential growth of unstructured data—images, text documents, PDFs, audio and video files, and specialized formats such as genomic sequences. Unlike structured data with clear organization, unstructured data typically lacks standardized organization, making it challenging to discover, access, and derive insights from these valuable assets. At Amazon Web […]
Validate radiology reports using Amazon Nova
Every day, radiologists around the world face a growing challenge: dealing with an increasing number of medical images while racing to deliver faster results. Adhering to the latest American College of Radiology (ACR) Appropriateness Criteria can be difficult, especially when patient care is on the line. At Amazon Web Services (AWS), we’ve been thinking a […]
AI-powered patient profiles using AWS HealthLake and Amazon Bedrock
Healthcare providers face a significant challenge today: the overwhelming volume of patient data spread across electronic health records. Before each patient visit, clinicians must review extensive medical histories, lab results, medications, and previous diagnoses—often under severe time constraints. This data overload can lead to missed insights, reduced face-to-face time with patients, and clinician burnout. We […]
Federated learning-based protein language models with Apheris on AWS
Healthcare and Life Sciences (HCLS) organizations face significant challenges in leveraging their valuable proprietary datasets due to privacy regulations and IP protection concerns. Apheris, an AWS technology partner, offers Apheris Gateway, which enables federated learning-based AI model training across multiple sites without sharing raw data. This allows data custodians to share insights while maintaining privacy […]
Enhance monitoring and observability for AWS HealthOmics workflows
Accessing workflow run logs and metrics through individual Amazon Web Services (AWS) HealthOmics APIs can make it difficult to have a birds-eye view over all your workflows and runs. Automating the ingestion of relevant HealthOmics workflow and run information can help you to be operationally efficient. Introduction Omics data has the potential to transform how […]