AWS Public Sector Blog
Tag: healthcare
Singapore Eye Research Institute categorizes retinal diseases using Amazon Rekognition
Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.
How the Imaging Data Commons migrated 40 million medical images using AWS DataSync
Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.
Top highlights from AWS worldwide public sector partners at re:Invent 2023
Jeff Kratz, vice president of worldwide public sector channels and alliances at Amazon Web Services (AWS), has attended 11 re:Invent conferences and continues to be awestruck by the innovative ideas and value that AWS Partners bring to customers. For those who were unable to attend or watch virtually, Jeff summarizes some of re:Invent 2023’s key partner highlights in this blog post.
Highlights from the re:Invent 2023 public sector Innovation Talk
The 12th annual Amazon Web Services (AWS) re:Invent conference debuted Innovation Talks—deep dives hosted by AWS thought leaders. Dave Levy, vice president of AWS worldwide public sector, delivered his talk, “Empowering citizens through digital innovation,” on Monday, November 27. Read this blog post to learn more about some of the public sector organizations using the AWS Cloud to improve people’s lives and the world.
Announcing the 2023-2024 AWS IMAGINE Grant winners
Each year, Amazon Web Services (AWS) awards IMAGINE Grants to nonprofit organizations using cloud technology to drive mission-critical impact for their beneficiaries. Learn more about the IMAGINE Grant program and this year’s winners, who were announced today at our re:Invent 2023 conference.
Covered California provides affordable healthcare access, powered by AWS
Through the work of Covered California, the state’s health insurance marketplace, the percentage of uninsured Californians is at a record-low 6.5 percent. Read this blog post to learn how Covered California achieved increased insurance coverage statewide through its innovative use of Amazon Web Services (AWS).
Icometrix helps to detect and treat neurological diseases with AI imaging, powered by AWS
Icometrix is a healthcare technology company that supports neurologists in making the correct diagnosis and prognosis for several brain diseases. Hundreds of clinical practices employ icometrix’s artificial intelligence (AI) imaging solutions, powered by Amazon Web Services (AWS), to aid in detecting and treating diseases such as multiple sclerosis and Alzheimer’s.
Get excited for re:Invent 2023: A public sector guide
On November 27, the Amazon Web Services (AWS) re:Invent conference returns to Las Vegas, Nevada for our twelfth year of learning with cloud enthusiasts from around the world. To make the most of your experience, we’ve put together this guide to some of the public sector sessions and activities at re:Invent.
Improving public health through data exchange
During and after the COVID-19 pandemic, health agencies stood up new solutions, augmented their epidemiologic data with other data sources, or looked to their local Health information Exchange (HIE) for support. In this blog post, we highlight four states where innovative HIEs are using Amazon Web Services (AWS) to help public health agencies overcome their data challenges.
Build population health systems to enhance healthcare customer experiences on AWS
As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.