Category: Amazon Machine Learning

In the competitive field of industrial operations, minimizing downtime is crucial for financial success. The challenge lies in managing complex data spread across various systems within industrial environments. Quickly identifying and solving issues without advanced analytics can be difficult. Operators often spend time consulting manuals to diagnose problems and follow protocols. Automation can streamline this […]

Analyzing large-scale genomic variant data just got easier with the latest release of Amazon EMR and its integration with AWS HealthOmics. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, empowering researchers and data scientists to uncover valuable insights through Amazon Athena queries and now Amazon EMR jobs. While Amazon Athena excels […]

Introduction This blog post describes a feature in AWS HealthLake which allows direct integration with Amazon EventBridge. Additionally, this blog post will show how AWS HealthLake’s event-driven capabilities can be leveraged to track events at the FHIR resource levels, allowing you to address complex notifications and subscription scenarios with native AWS services. AWS HealthLake, a […]

In the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance visual quality inspection (VQI), seamlessly integrating visual data with operational metrics like overall equipment effectiveness […]

In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]

Introduction Advancements in next-generation sequencing (NGS) technology have created new opportunities for omics data analysis, unlocking valuable insights for precision medicine, clinical diagnostics, and drug discovery. To keep pace with this high-throughput technology and handle the fluctuations in data volume, healthcare and life sciences (HCLS) customers seek a secure, reliable, and scalable environment for data […]

As early adopters of artificial intelligence (AI), healthcare and life science organizations are among the most enthusiastic and advanced users of generative AI. The transformative technology has undergone a remarkable evolution in the past year, propelling innovations once considered science fiction into reality – with the potential to transform these industries and significantly improve patient outcomes […]

From population sequencing, to drug discovery, to diagnostics research, omics data is driving a deeper understanding and personalization in how healthcare is delivered. While the value of multi-omics data is understood, our healthcare and life sciences (HCLS) customers want better tools to get started, build applications, and scale up analyses that will help lower costs […]

As a gold sponsor of the Bio-IT World Conference and Expo 2024 in Boston from April 15-17, the AWS Genomics team is excited to showcase how AWS HealthOmics, our purpose-built service used to transform omics data into insights, is transforming research and accelerating the future of precision medicine. This premier event brings together a global […]

Manufacturers often tell us how workforce challenges affect their organizational productivity. If you feel this way, you are not alone. Every quarter, the U.S. National Association of Manufacturers, the trade association that consolidates manufacturer interests, polls CEOs on their primary business challenges. In the latest poll (2023 Fourth Quarter Manufacturers’ Outlook Survey), more than 71% […]